My client provided a SaaS full-service hosting platform covering: licensing, CMS, and website UI and are looking for someone with technical and publishing industry experience who can cross between technical issues, relationship management and publishing software
Your likely background:
Experience with web technologies such as HTML, CSS, JavaScript and HTTP
Experience working with and managing external partners and customers
Ability to deliver messages on the technical level and present technical materials to groups of any size and background
Familiarity with: Java, C/C++ or Python, SQL/MySQL and Unix/Linux
Understanding of the publishing and information industries.
What you would be doing:
Build a comprehensive technical knowledge of the customers??? platforms and use that knowledge to help them get the most out of our products
Work with technical/ product teams and release managers to achieve the successful launch and operation of advanced content websites. ....Read more...
Data Manager required to manage the collection, formatting, storage and analysis / modelling of data. My client combines great user experience with innovative technologies and methodologies to solve client???s real world problems in novel and unique ways. The data team supports Jupyter Analysts working on models driven by analysing large datasets.
Skills and Qualifications
Extracting, cleansing, analysing and presenting data
Python, NumPy, pandas, ggplot2, etc
SQL
Algorithms and data structure understanding
Extremely large datasets
Cloud systems and micro services
Building and managing technical teams
Role requirements
Deliver data related development projects
Use data manipulation to solve complex problems
Work with cross-functional teams to understand requirements
Develop quality architecture and frameworks for different data projects
Team mentoring, building a new in-house data team and managing their performance
This is a fantastic opportunity to join an established but still growing organisation who are exceptionally good at what they do.....Read more...
Data scientist required to apply data analytics and data analysis tools to predict data solutions in the oilfield domain, (Reservoir Simulation and Field Development Planning).
You will apply data science and machine learning automation tools to gain insight from raw data.
Key skills
C++
Google Analytics APIs for data mining and analysis
Data Science application delivering solutions to engineering domains.
What you will be doing
Applying mathematical methods & techniques to real world problems.
Using techniques, tools and algorithms to model predictive analysis.
Data Science tooling e.g. R, SQL, Hadoop, Hive
Development where needed e.g. C++, Java, Delphi, Python to make the models work.
Working in an Agile development environment.
Telemetry capture using Google Analytics.
Data visualization e.g. Tableau, Spotfire
This is a fantastic opportunity no just to solve some complex and challenging data problems but to also contribute to how this Scientific Software Data Science department works.....Read more...
My client provided a SaaS full-service hosting platform covering: licensing, CMS, and website UI and are looking for someone with technical and publishing industry experience who can cross between technical issues, relationship management and publishing software
Your likely background:
Experience with web technologies such as HTML, CSS, JavaScript and HTTP
Experience working with and managing external partners and customers
Ability to deliver messages on the technical level and present technical materials to groups of any size and background
Familiarity with: Java, C/C++ or Python, SQL/MySQL and Unix/Linux
Understanding of the publishing and information industries.
What you would be doing:
Build a comprehensive technical knowledge of the customers??? platforms and use that knowledge to help them get the most out of our products
Work with technical/ product teams and release managers to achieve the successful launch and operation of advanced content websites. ....Read more...
This organisation is building the future of company intelligence, delivering a next-generation AI software platform designed for instant, intuitive benchmarking and insights. They collaborate with leading experts across global consultancies, M&A advisory, and beyond, providing high-value competitor intelligence to support new business development and key client engagements. Their platform drives strategic benchmarking across critical areas like culture, leadership, technology, and customer operations. Job Overview The Company Intelligence Analyst role offers the chance to work at the intersection of software, AI, and company benchmarking. You’ll collaborate with intelligence analysts, data engineers, and technologists to deliver insightful benchmarking products and develop intelligence for a variety of industries. Here's What You'll Be Doing Producing high-quality company intelligence products tailored to diverse industries and use cases. Analysing commercial, technological, and operational benchmarks relevant to M&A, consultancy, and client sales. Handling confidential and sensitive client briefs, working independently and in a team. Processing data to uncover insights on companies’ people, activities, technologies, and investments. Writing succinct, technical commentary to interpret client deliverables. Using Python and advanced data tools to innovate intelligence concepts, including APIs, web scrapers, and robotic process automation. Here Are the Skills You'll Need Passion for data, statistics, company benchmarking, and AI. Strong interest in M&A, consultancy, and competitor intelligence. Excellent attention to detail and ability to learn quickly. Proficiency in Python, statistical analysis, and MS Excel. Degree-level qualification in finance, business, STEM, or related fields. Experience in areas like company benchmarking, data science, AI, or FP&A is advantageous. Knowledge of data pipelines and acquisition techniques, including APIs and automation, is a plus. Work Permissions You must have the right to work in the United Kingdom. Visa sponsorship is not available at this time. Here Are the Benefits of This Job Competitive salary starting at £35,000+ (depending on experience). Permanent full-time position with flexibility to work primarily from home. Pension scheme and annual leave allowance. Share options. Opportunity to work in a flat organisational structure alongside a passionate and diverse team, including direct collaboration with the founding team. Why This Role Is Exciting A career as a Company Intelligence Analyst opens doors to the innovative world of AI-driven benchmarking, where you can make a meaningful impact by transforming data into actionable insights. Whether you’re passionate about technology, M&A, or consultancy, this role offers a unique blend of challenge and opportunity in an inclusive, supportive, and startup-like atmosphere. Ready to step into the future of company intelligence? Apply today and be part of shaping what’s next.....Read more...
AI & MLOps Engineer – SaaS / AI-Driven Services – Linz, Austria
(Key skills: Machine Learning, MLOps, AI Workflows, Python, Cloud Services, Production ML, Model Deployment, Scaling, Monitoring, Agile, DevOps, Continuous Improvement, SaaS, Data Science, AI Systems)
Are you passionate about bringing AI and ML solutions from prototype to production? Do you thrive at the intersection of research, engineering, and operations, building scalable ML systems in the cloud for high-impact SaaS products? If so, this is a fantastic opportunity to join a forward-thinking tech organisation growing its AI footprint in Austria.
Our client, an international SaaS business expanding its operations across the EU, is seeking an AI & MLOps Engineer to play a pivotal role in designing, implementing, and maintaining ML workflows and AI agent systems. You will be part of a dynamic Cloud & AI Competence team where innovation, quality, and reliable delivery are core values.
In this role, you will design AI agents and orchestrate AI-driven workflows, taking them from initial prototyping in notebooks all the way through to robust production deployment. You’ll build custom environments for ML, ensuring they are scalable, resilient, and maintainable. You’ll embrace modern cloud services to support your work, and embed MLOps best practices to enable continuous delivery, monitoring, versioning, rollback, automated retraining, and drift detection. Working in an Agile team, you’ll help promote improvements, mentor colleagues, and ensure that production machine learning models are reliable and performant.
You will need solid experience in software development with Python, a deep understanding of machine learning concepts, and practical experience bringing models into production. You should have familiarity with cloud services (AWS, Azure, or GCP), containerisation or orchestration tools (e.g. Docker, Kubernetes), as well as monitoring, logging and alerting around ML systems. A quality mindset, attention to detail, strong analytical thinking, and ability to maintain calm under pressure are essential.
Strong communication skills are also important — you’ll regularly work with stakeholders across product, engineering, operations, and business teams, explaining technical concepts clearly and managing expectations. You should be comfortable documenting designs, maintaining versioned pipelines, and helping shape the architectural and operational standards for ML in production.
This is a rare opportunity to take a senior technical position in a business scaling its AI & ML capabilities, where your work will directly contribute to the core product, customer value, and competitive differentiation.
Location: Linz, Austria / Hybrid working
Salary: €50,000 – €75,000 + Bonus + Benefits
Applicants must have the right to work in Austria.
NOIRAUSTRIAREC
NOIREUROPEREC
NOIREURNET
....Read more...
Cloud Platform EngineerLocation: Hybrid (Northampton 2 days/week) Salary: £65 - £75k My client are looking to recruit a Cloud Platform Engineer to help shape the future of cloud infrastructure! You'll work with cutting-edge cloud technologies (Azure/AWS), automation, and CI/CD pipelines to deliver scalable, secure, and highly available systems.What You’ll Do:Build and maintain cloud-native and on-premise solutions.Automate workflows, infrastructure, and deployments.Support agile teams with tools, monitoring, and DevOps best practices.Collaborate across teams to improve systems, performance, and security.Develop containerized solutions (Kubernetes/Docker) in Azure. Key Skills:2–3 years experience in cloud platforms (Azure/AWS) and CI/CD pipelines.Strong skills in scripting (Python, Bash, PowerShell, JavaScript).Experience with infrastructure-as-code (Terraform, Ansible, etc.).Passion for problem-solving, automation, and collaboration.....Read more...
Data Engineer – FinTech – Newcastle
(Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer)
Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle and are looking for a talented Data Engineer to join their team. This role will focus on building and optimising systems that make complex datasets accessible, reliable, and valuable for the business.
As a Data Engineer, you will take responsibility for the development of high-quality pipelines that process and manage large volumes of data from a range of external and internal sources. You’ll play a key role in enhancing and maintaining their central data platform, ensuring the smooth delivery of information that supports investment decision-making. Working closely with stakeholders across the business, you’ll help shape how data is accessed, tested, and leveraged to maximise value.
The successful candidate will bring:
3–6 years of relevant experience working as a Data Engineer (or in a closely related role).
A 2:1 or above in Computer Science (or related field), ideally from a Russell Group university.
Direct experience in the hedge fund sector (essential).
Strong ability to design and build data pipelines that integrate multiple data sources.
Proficiency in SQL and Python, with solid exposure to AWS or other cloud-based data tools.
Familiarity with version control systems such as Git and workflow/orchestration tools such as Airflow.
Proven ability to test and troubleshoot data systems, with a track record of improving reliability and accuracy.
Excellent communication skills, with the ability to collaborate effectively in a team environment.
A detail-oriented, proactive mindset, with a willingness to learn and apply new technologies.
This is an exciting opportunity to join a forward-thinking organisation where data is at the core of their success. You’ll be part of a collaborative environment where your work will directly support world-class FinTech solutions.
Location: Newcastle, UK (Fully Office Based)
Salary: £45,000 - £80,000 + Bonus + Benefits
Applicants must be based in the UK and have the right to work in the UK.
Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions!
NOIRUKTECHREC
NOIRUKREC
....Read more...
Machine Learning Engineer
Machine Learning Engineer – AI for Advanced Materials – Oxford / Remote (UK)
(Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform)
We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the world designs and makes advanced materials. By combining artificial intelligence, physics-based simulation, and cutting-edge 3D printing, our client is transforming the way metal components are conceived, tested, and produced — enabling breakthroughs in aerospace, energy, and beyond.
This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact — from inventing new alloys to optimising complex manufacturing processes. You’ll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production.
If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you’ll fit right in.
Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies.
Join a team that’s fusing AI, science, and engineering to push the boundaries of what’s possible.
All Machine Learning Engineer positions come with the following benefits:
• Competitive salary with annual performance-based bonuses
• Equity options — share in the company’s long-term success
• Private healthcare and comprehensive wellbeing package
• Generous pension scheme (up to 8%)
• Dedicated R&D time to explore new technologies and research ideas
• Annual training & conference allowance of £5,000 for personal development
• Flexible and hybrid working — work where you’re most effective
• Opportunities for international collaboration with teams in Europe, Asia, and the US
• 25 days holiday plus your birthday off and extra days for long service
• Regular team offsites, guest talks, and hack weeks to spark innovation
• An open, supportive culture that values curiosity, creativity, and deep technical mastery
Location: Oxford, UK
Salary: £45000-£80000 (DOE) + Bonus + Equity + Pension + Benefits
Applicants must be based in the UK and have the right to work in the UK, even though remote working is available.
To apply for this position please send your CV to Lina Savjani at Noir.
NC/LS/MLENG....Read more...
DevOps Engineer – FinTech – Newcastle
(Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer)
Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by some of the world’s leading financial institutions. With ambitious plans for growth and new product launches, they are now seeking a talented DevOps Engineer to join their team in Newcastle.
As a DevOps Engineer, you will be responsible for creating, maintaining, and optimising the infrastructure and pipelines that support highly complex financial software platforms. You’ll work closely with developers and stakeholders, ensuring deployments are seamless, environments are robust, and systems are both secure and scalable. This is a fantastic opportunity to apply your technical expertise in a collaborative, fast-paced environment where innovation is actively encouraged.
The successful candidate will bring:
A 2:1 degree or above in Computer Science (or related), ideally from a top university.
Strong ability in scripting with PowerShell or a similar language.
Hands-on coding skills in at least one of C#, Java, or Python.
Practical knowledge of automation tools such as Terraform or Ansible.
Background in container platforms (e.g., Docker) with orchestration using Kubernetes or Swarm.
Familiarity with system monitoring solutions (e.g., ELK, Grafana, or similar).
Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity.
Experience working with SQL databases, particularly Microsoft SQL Server.
Comfort managing both Windows and Linux environments.
The ability to communicate clearly with colleagues and clients to resolve challenges and deliver solutions.
Desirable (but not essential):
Working knowledge of Atlassian products such as JIRA or Bitbucket.
Exposure to artifact management tools like Artifactory.
Deployment automation experience with Octopus Deploy.
Awareness of code quality and analysis tools (e.g., SonarQube).
Background with job scheduling platforms such as Control-M.
Experience with major cloud providers (Azure, AWS, GCP).
Familiarity with VMware (vSphere) and storage area networks.
Previous experience in financial services would be advantageous, though not a requirement.
This is an exceptional opportunity to join a forward-thinking organisation where your contributions will directly shape the delivery of world-class FinTech products.
Location: Newcastle, UK (Fully Office Based)
Salary: £50,000 - £90,000 + Bonus + Benefits
Applicants must be based in the UK and have the right to work in the UK.
Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions!
NOIRUKTECHREC
NOIRUKREC
....Read more...
Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology.
Responsibilities:
Collect, clean, and analyze structured and unstructured data.Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks.Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform.
Requirements:
Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib).
Understanding of key machine learning concepts and workflows.
Strong problem-solving and analytical thinking skills.
Excellent communication and teamwork abilities.
(Optional) Experience with Golang for backend or high-performance data processing.
(Optional) Familiarity with network science tools (e.g., NetworkX, graph databases).
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology.
Responsibilities:
Collect, clean, and analyze structured and unstructured data.Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks.Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform.
Requirements:
Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib).
Understanding of key machine learning concepts and workflows.
Strong problem-solving and analytical thinking skills.
Excellent communication and teamwork abilities.
(Optional) Experience with Golang for backend or high-performance data processing.
(Optional) Familiarity with network science tools (e.g., NetworkX, graph databases).
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
DevOps Engineer – Burton upon Trent / Hybrid Hybrid workingSalary up to £60,000 per annumA leading client in Burton seeks a DevOps Engineer to design, implement, and maintain AWS and Azure cloud infrastructure. The role involves supporting continuous integration and delivery, ensuring reliability and security, and sharing expertise to help develop the team.Key skills and responsibilities:
Design, deploy, and manage secure, scalable AWS infrastructure.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins.
Set up monitoring, alerting, and logging with tools like Datadog, Logic Monitor, and Solarwinds.
Strong grasp of DevOps principles; hands-on CI/CD experience.
Microsoft Certified: DevOps Engineer Expert (AZ-400).
Design and deploy containers on AKS/EKS with CloudFormation or ARM templates.
Automate tasks using PowerShell, Bash, or Python.
Manage infrastructure with Terraform, Bicep, or ARM templates (HashiCorp Certified: Terraform Associate).
Enforce security compliance and access controls (IAM, PIM, RBAC).
Respond to incidents; conduct root cause analysis and post-mortems.
Maintain documentation and runbooks.
Collaborate cross-functionally to align DevOps practices with project goals.
Interested?! Send your up-to-date CV to Dean Sadler-Parkes at Crimson for reviewNot interested?! Do you know anyone that might be? Refer a friend for this role to earn £250 worth of vouchers.
....Read more...
Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology.
Responsibilities:
Collect, clean, and analyze structured and unstructured data.Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks.Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform.
Requirements:
Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib).
Understanding of key machine learning concepts and workflows.
Strong problem-solving and analytical thinking skills.
Excellent communication and teamwork abilities.
(Optional) Experience with Golang for backend or high-performance data processing.
(Optional) Familiarity with network science tools (e.g., NetworkX, graph databases).
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
Job Description:
Our client, a leading global financial services organisation based in Glasgow is looking for a Data Engineer to join the team. This is an excellent opportunity to play a pivotal role in the development, enhancement, and ongoing management of a strategic internal platform that supports compliance and market integrity across the business.
Skills/Experience:
Strong technical proficiency in Power BI, Python, Microsoft SQL, PowerApps, Power Automate, and SharePoint.
Solid understanding of data engineering, ETL processes, DataIKU and data integration methodologies.
Previous experience in data governance or data management, with a focus on data quality and metadata management.
Track record in managing complex IT-related projects, with excellent organisational and project management abilities.
Strong analytical and problem-solving skills with exceptional attention to detail.
Ability to influence and drive projects without direct hierarchical authority.
Effective communication and relationship-building skills, with experience working across regions and seniority levels.
Core Responsibilities:
Extend and maintain an internal compliance tool using Microsoft SQL Server, Power Apps, Power Automate, Power BI, Python and SharePoint.
Design and develop APIs to integrate upstream and downstream systems, ensuring data completeness and accuracy.
Optimise database structures, indexes and queries to improve performance and resolve technical challenges.
Automate data ingestion pipelines and strengthen data quality controls.
Enhance the user interface, including visualisation, navigation, categorisation and role-based access management.
Document all functional and technical specifications, operational procedures and troubleshooting processes.
Lead the migration of the current prototype into a scalable, business-as-usual application.
Ensure business continuity, monitoring and incident response frameworks are maintained.
Manage a dynamic backlog, aligning priorities with the Head of Record Keeping Practice.
Provide clear and concise communication of progress, risks and interdependencies to stakeholders and senior leaders.
Act as the subject matter expert for internal audit engagements relating to the record keeping platform.
Support broader compliance market integrity and corporate data initiatives as directed by leadership.
Provide efficient data processing and analysis support for surveillance and market abuse-related projects.
Deliver forensic data analysis and evidence-ready reports for whistleblowing, disciplinary and other investigations.
Core-Asset Consulting is an equal opportunities recruiter and we welcome applications from everyone irrespective of age, disability, gender, gender identity or expression, race, colour, ethnic or national origin, sexual orientation, religion or belief, marital/civil partner status or pregnancy.
Job reference: 16311
To apply for this vacancy applicants must be eligible to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.
At Core-Asset, we’re committed to protecting and respecting your privacy. Our privacy statement explains when and why we collect personal information about people who engage with our services, how we use it, the conditions under which we may disclose it to others, and how we keep it secure. We may change this policy from time to time, so please check this policy occasionally to ensure that you’re happy with any changes.
By engaging with us (either by applying for a job we’re advertising, registering through our website, or getting in touch with our business) you’re agreeing to be bound by this policy.
Core-Asset Consulting is committed to protecting the privacy of our candidates, clients and website users. For further information, please refer to our full Privacy Statement available on our website http://www.core-asset.co.uk/about-core-asset/privacy-statement
Core-Asset Consulting offers specialist recruitment services to asset management, accounting & finance, asset servicing, legal and the wider financial services sector in Scotland.
INDPERM....Read more...
Job Description:
Core-Asset Consulting is delighted to be partnering with a leading fintech firm to recruit a Technical Lead. This is an exceptional opportunity to play a key role in delivering complex platform implementations for high-profile financial services clients. This is a remote position, with access to office space in London or Edinburgh and will involve spending time on client sites in the UK.
Skills/Experience:
Experience in client-facing technical roles.
Experience delivering SaaS platforms, working between core engineering teams and client implementations.
A deep understanding of enterprise architecture, user experience principles, middleware technologies and challenges relating to scale and performance.
Strong knowledge of integration technologies, including security models, data integration approaches and hands-on API experience.
Proficiency with platform configuration tools, including JSON, HTML and Python.
Experience troubleshooting across all layers of the technology stack in an AWS-based environment.
Excellent communication skills, with the ability to engage senior technical stakeholders in both external and internal settings.
Collaborative and hands-on approach to delivery with a strong focus on meeting client deadlines.
Confidence working with top-tier financial services institutions.
Demonstrated ability to work effectively with global, multi-time-zone teams.
Core Responsibilities:
Drive the delivery of all technical aspects of platform implementations, including solution architecture, configuration and integration with client ecosystems.
Lead technical workstreams on client engagements, running workshops, preparing estimates, and managing client releases.
Collaborate with global product and engineering teams on feature development, configuration patterns, implementation methodology and integration best practice.
Manage technical sprints, including oversight of technical stories, allocation of work and proactive escalation of risks and issues.
Provide senior oversight of client-facing production support, including first-line triage, escalation management and communication during high-priority incidents.
Serve as the primary point of contact for technical escalations and coordinate internal responses to ensure timely resolution.
Document configuration requirements and produce technical configuration stories.
Configure the platform using front-end configuration tools, JSON, HTML and Python.
Test configuration changes using tools such as Postman and troubleshoot defects across test and production environments.
Deliver executive reporting on technical service provision for each client.
Represent the technical function at client governance forums.
Collaborate with peers across global offices to maintain and enhance implementation and service management documentation and processes.
Core-Asset Consulting is an equal opportunities recruiter and we welcome applications from everyone irrespective of age, disability, gender, gender identity or expression, race, colour, ethnic or national origin, sexual orientation, religion or belief, marital/civil partner status or pregnancy.
Job reference: 16319
To apply for this vacancy applicants must be eligible to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.
At Core-Asset, we’re committed to protecting and respecting your privacy. Our privacy statement explains when and why we collect personal information about people who engage with our services, how we use it, the conditions under which we may disclose it to others, and how we keep it secure. We may change this policy from time to time, so please check this policy occasionally to ensure that you’re happy with any changes.
By engaging with us (either by applying for a job we’re advertising, registering through our website, or getting in touch with our business) you’re agreeing to be bound by this policy.
Core-Asset Consulting is committed to protecting the privacy of our candidates, clients and website users. For further information, please refer to our full Privacy Statement available on our website http://www.core-asset.co.uk/about-core-asset/privacy-statement
Core-Asset Consulting offers specialist recruitment services to asset management, accounting & finance, asset servicing, legal and the wider financial services sector in Scotland.
INDPERM....Read more...
Job Description:
Core-Asset Consulting is delighted to be partnering with a leading fintech firm to recruit a Technical Lead. This is an exceptional opportunity to play a key role in delivering complex platform implementations for high-profile financial services clients. This is a remote position, with access to office space in London or Edinburgh and will involve spending time on client sites in the UK.
Skills/Experience:
Experience in client-facing technical roles.
Experience delivering SaaS platforms, working between core engineering teams and client implementations.
A deep understanding of enterprise architecture, user experience principles, middleware technologies and challenges relating to scale and performance.
Strong knowledge of integration technologies, including security models, data integration approaches and hands-on API experience.
Proficiency with platform configuration tools, including JSON, HTML and Python.
Experience troubleshooting across all layers of the technology stack in an AWS-based environment.
Excellent communication skills, with the ability to engage senior technical stakeholders in both external and internal settings.
Collaborative and hands-on approach to delivery with a strong focus on meeting client deadlines.
Confidence working with top-tier financial services institutions.
Demonstrated ability to work effectively with global, multi-time-zone teams.
Core Responsibilities:
Drive the delivery of all technical aspects of platform implementations, including solution architecture, configuration and integration with client ecosystems.
Lead technical workstreams on client engagements, running workshops, preparing estimates, and managing client releases.
Collaborate with global product and engineering teams on feature development, configuration patterns, implementation methodology and integration best practice.
Manage technical sprints, including oversight of technical stories, allocation of work and proactive escalation of risks and issues.
Provide senior oversight of client-facing production support, including first-line triage, escalation management and communication during high-priority incidents.
Serve as the primary point of contact for technical escalations and coordinate internal responses to ensure timely resolution.
Document configuration requirements and produce technical configuration stories.
Configure the platform using front-end configuration tools, JSON, HTML and Python.
Test configuration changes using tools such as Postman and troubleshoot defects across test and production environments.
Deliver executive reporting on technical service provision for each client.
Represent the technical function at client governance forums.
Collaborate with peers across global offices to maintain and enhance implementation and service management documentation and processes.
Core-Asset Consulting is an equal opportunities recruiter and we welcome applications from everyone irrespective of age, disability, gender, gender identity or expression, race, colour, ethnic or national origin, sexual orientation, religion or belief, marital/civil partner status or pregnancy.
Job reference: 16319
To apply for this vacancy applicants must be eligible to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.
At Core-Asset, we’re committed to protecting and respecting your privacy. Our privacy statement explains when and why we collect personal information about people who engage with our services, how we use it, the conditions under which we may disclose it to others, and how we keep it secure. We may change this policy from time to time, so please check this policy occasionally to ensure that you’re happy with any changes.
By engaging with us (either by applying for a job we’re advertising, registering through our website, or getting in touch with our business) you’re agreeing to be bound by this policy.
Core-Asset Consulting is committed to protecting the privacy of our candidates, clients and website users. For further information, please refer to our full Privacy Statement available on our website http://www.core-asset.co.uk/about-core-asset/privacy-statement
Core-Asset Consulting offers specialist recruitment services to asset management, accounting & finance, asset servicing, legal and the wider financial services sector in Scotland.
INDPERM....Read more...
Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, Maths will not be eligible.
You will also need to commit to completing a Level 4 Data Analyst Apprenticeship.
This apprenticeship offers an excellent opportunity to gain hands-on experience and develop practical skills in data science and analytics while working towards a recognised qualification. As a member of the Data Science Lab, you will support a range of research and data analysis projects, contributing to the development of high-quality datasets, analytical tools, and insightful visualisations. This role enables you to learn from experienced data scientists, collaborate across multidisciplinary teams, and apply your skills to projects that inspire better policy and decision-making.
You will receive comprehensive training and mentorship, developing your expertise in data collection, cleaning, programming, and communication of data-driven insights. Upon completion, you will have built a solid foundation in modern data science workflows and best practice within a research environment. As well as ensuring sufficient training to meet your Level 4 Data Analyst Apprenticeship, you will have access to a range of complimentary training services as part of RAND’s Data Science Lab.
Key responsibilities
Support the extraction, aggregation, and creation of datasets from a range of sources, including open databases, web scraping, policy documents, academic literature, and bibliometric data.
Clean, standardise, and prepare datasets from various sources, ensuring data quality and consistency prior to analysis.
Explore and analyse datasets using a range of analytical tools – including statistical methods, regression analysis, and machine learning techniques – to identify key trends and generate actionable insights for research projects.
Create clear, engaging data visualisations and dashboards to communicate key research insights to internal and external audiences, including policy makers.
Contribute to the adaptation of existing data workflows, such as the systematic application of large language models (LLMs) in a Python programming environment for data extraction and analysis.
Maintain up-to-date code repositories and documentation, ensuring code is well annotated and accessible for team use.
Assist in the development and upkeep of dashboards and digital observatories using tools such as Power BI, Streamlit, Shiny, Plotly or WordPress.
Collaborate across the Data Science Lab and research groups, providing support to colleagues and contributing to a positive, inclusive team environment.
Undertake ad hoc duties as required.
Skills and Experience
Strong interest in data science and research analytics, with demonstrable motivation to build a career in this field.
Familiarity with data analysis, statistical concepts, and creating data visualisations (coursework, science experiments, projects, or self-study count).
Some experience with coding (e.g. Python, R, or similar) is desirable but not essential.
Excellent problem-solving skills.
Effective verbal and written communication skills, with the ability to present findings clearly.
Strong team player who can work collaboratively and communicate clearly within a team.
Self-starter with a positive attitude, curious mindset, and willingness to embrace new challenges.
Commitment to continuous learning and professional development.
Training Outcome:Ongoing employment and career progression. Employer Description:RAND Europe is a not-for-profit policy research organisation. Our mission is to help improve policy- and decision-making through evidence-based research and analysis. We realise our mission by undertaking objective, balanced and relevant research, sharing the insights and information widely, and working in partnership with a range of clients and collaborators.
Our work combines the academic rigour with a task-oriented approach. In addition to our strong ethos of evidence-based research, RAND Europe is a values-driven organisation.Working Hours :Monday - Friday, shifts to be confirmed.Skills: Communication skills,IT skills,Attention to detail,Organisation skills,Problem solving skills,Presentation skills,Number skills,Analytical skills,Logical,Team working,Creative,Initiative,Non judgemental,Patience....Read more...
AWS Cloud Engineer – 2nd Line Support (Contract)
Location: 4 days Office based in Central London, 1 day remote
Contract Length: 6 Months
Rate: £250 - £270 per day (Inside IR35)
Start: ASAP
Are you an experienced AWS Cloud Engineer looking for your next contract? We’re seeking a talented 2nd Line Support Engineer to join a busy team and play a key role in maintaining, troubleshooting, and optimising in a cloud environment.
What You’ll Do
• Provide 2nd line support across AWS cloud infrastructure and associated services
• Troubleshoot incidents, service interruptions, and performance issues
• Support deployments, configuration, and maintenance of cloud resources
• Work closely with 3rd line, DevOps, and architecture teams to resolve complex issues
• Ensure compliance with operational standards, security policies, and best practices
• Maintain technical documentation and contribute to process improvements
Required Skills & Experience
• Strong hands-on AWS experience (EC2, VPC, IAM, S3, CloudWatch, Lambda, etc.)
• Solid knowledge of Linux/Windows administration
• Experience with networking fundamentals (DNS, routing, load balancing, firewalls)
• Familiarity with Terraform, CloudFormation, or similar IaC tools
• Understanding of CI/CD pipelines and modern DevOps workflows
• Proven background in 2nd line/operational support roles
• Excellent communication and problem-solving skills
Nice to Have
• AWS Certifications (Associate or above)
• Experience supporting containerised environments (ECS/EKS/Docker)
• Scripting skills (Python, Bash, PowerShell)
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For more information or a list of current vacancies, please see our web site at mecscomms.co.uk
....Read more...
An exciting opportunity has arisen for a Cloud DevOps Engineer / Cloud Infrastructure Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare.
As a Cloud DevOps Engineer / Cloud Infrastructure Engineer, you will focus on building, automating, and managing scalable cloud infrastructure while ensuring the highest standards of security and availability.
This is a contract-based role (6-12 months) offering hybrid / remote working options, a salary range of £500 - £600 per day (Inside IR35) and benefits.
Responsibilities:
? Develop and automate infrastructure for cloud-native networks, integrating APIs for seamless operations.
? Work with virtual cloud firewall appliances (e.g., CheckPoint, Cisco) to ensure network security.
? Implement and manage routing protocols such as BGP and OSPF, with a focus on high-availability designs.
? Ensure adherence to software engineering best practices, including unit testing, code reviews, and troubleshooting.
? Support infrastructure-as-code practices using tools like Terraform, Pulumi, and GitOps principles.
? Contribute to an Agile development environment, collaborating with cross-functional teams to deliver robust solutions.
What We Are Looking For:
? Previously worked as a Cloud DevOps Engineer, DevOps Engineer, Platform Engineer, Cloud Infrastructure Engineer, Cloud Engineer, Infrastructure Engineer, Cloud Network Engineer, Cloud Platform Engineer, Cloud Operations Engineer,or in a similar role.
? Technical expertise in virtual cloud firewalls (CheckPoint, Cisco) and cloud security best practices.
? Strong Python programming skills for automation, API integration, and orchestration.
? Proven knowledge of routing protocols (BGP, OSPF) and high-availability architecture.
? Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform, Pulumi) and GitOps methodologies.
? Expertise in software engineering....Read more...
Data Analyst – Microsoft Technologies
Outside IR35 (£450-500 P/D)
Remote / Birmingham 1-2 days per month
3 Months +
Start Date: 2026
(Sponsorship is not provided for this opportunity)
Data Analyst required for a leading Microsoft Digital Transformation partner based in Birmingham. We are looking for a highly skilled and detail-oriented Data Analyst to join our growing team. In this role, you will be responsible for analysing and interpreting data using Microsoft technologies, helping to drive data-informed decision-making across the organisation. You will work with a variety of data sources to identify key trends, develop clear visual reports, and support business stakeholders with actionable insights.
Key Skills:
Experience with Microsoft Fabric components (e.g., Data Factory, Synapse Data Warehouse, Synapse Data Science/Engineering)
Strong SQL skills
Proficiency with Power BI or similar BI tools (Qlik, Tableau, etc.)
Python preferred (R or Scala also considered)
Advanced Excel capabilities
Nice to Have:
Knowledge of OneLake and Delta Lake
Experience with Spark
Familiarity with Databricks
Interested? Please submit your updated CV to Olivia Yafai at Crimson for immediate consideration.
Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
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Ambitious Mathematics graduate wanted for this Quantitative Analyst position. The investment management industry stands at a fascinating crossroads where sophisticated mathematical theory meets real-world market dynamics. This Quantitative Analyst role offers recent graduates with exceptional analytical capabilities the chance to apply advanced statistical methods and machine learning techniques within a genuine fund environment, moving beyond theoretical frameworks into hands-on portfolio analytics and risk assessment. About the Firm A boutique investment management firm operating within London's competitive asset management landscape, this company is evolving its strategic direction with a focus on quantitative approaches to credit analysis. Having previously concentrated on equity strategies, the organisation recognises that mathematical rigour and computational skills will prove essential as it transitions its investment methodology. The culture values intellectual curiosity, analytical precision, and the ability to translate complex mathematical concepts into actionable investment insights. The Role As a Quantitative Analyst, you'll work directly with portfolio managers and senior investment professionals to develop analytical frameworks that support credit assessment and portfolio construction. This position represents a genuine opportunity to shape analytical processes during a pivotal strategic transition, where your quantitative skillset will contribute materially to the firm's evolving investment approach. You'll bridge the gap between theoretical finance and practical application, developing your understanding of fixed income markets whilst leveraging your mathematical and programming expertise. Your core responsibilities will include:Building and refining quantitative models for credit risk assessment, applying statistical techniques to evaluate issuer creditworthiness and default probabilityDeveloping Python-based analytical tools to process and analyse fixed income market data, creating visualisations that communicate complex risk metrics to investment teamsConducting backtesting and validation of quantitative strategies, documenting methodology and results with academic rigourSupporting portfolio construction by analysing correlation structures, duration profiles, and yield curve dynamics across credit instrumentsCollaborating with investment professionals to translate quantitative findings into practical investment recommendationsResearching emerging quantitative techniques applicable to credit markets, staying current with academic literature in financial mathematicsEssential qualifications and experience:Strong academic background in Mathematics, Statistics, Physics, or related quantitative discipline (First Class or high 2:1 honours degree)Postgraduate qualification in Financial Mathematics, Quantitative Finance, or similar field demonstrating specialised knowledgeDemonstrable programming ability in Python, with experience using libraries such as NumPy, Pandas, and scikit-learn for data analysisGenuine intellectual curiosity about financial markets and investment management, with clear motivation for pursuing a quantitative finance careerStrong analytical reasoning skills with ability to approach complex problems systematicallyExcellent communication abilities, capable of explaining mathematical concepts to non-technical audiencesWork Permissions You must have the right to work in the United Kingdom. Visa sponsorship is not available at this time. What you'll gain:Competitive salary of £30,000-£40,000 reflecting your academic achievements and potentialDirect exposure to institutional investment processes and credit market dynamicsMentorship from experienced investment professionals who value quantitative rigourProfessional development pathway with clear progression as analytical capabilities developOpportunity to contribute meaningfully during a strategic transition periodCentral London location with excellent transport connectivityCollaborative environment that rewards analytical thinking and intellectual contributionBuilding a Career in Quantitative Finance The intersection of mathematics and finance continues to expand as investment firms increasingly rely on quantitative methods for decision-making. For graduates with strong analytical foundations, quantitative analyst roles provide an exceptional entry point into the investment industry, offering exposure to sophisticated financial theory whilst developing practical market knowledge. As firms evolve their strategies to incorporate machine learning and alternative data sources, professionals who combine mathematical expertise with genuine market understanding will find themselves particularly well-positioned. The skills developed in quantitative finance roles—rigorous analysis, clear communication of complex ideas, and systematic problem-solving—create pathways toward portfolio management, risk leadership, or specialised quantitative research positions. The Opportunity Hub UK specialises in connecting mathematically talented graduates with investment firms seeking analytical excellence. This Quantitative Analyst position represents a genuine career-building opportunity for ambitious professionals.....Read more...
Role Summary A unique internship opportunity for undergraduates with strong analytical abilities and interest in financial services, commencing June/July for 2-4 months. Company Profile The Opportunity Hub UK has partnered with an established financial services organisation based across Woking and London locations. Our client combines technological innovation with financial expertise to deliver market-leading solutions to their customers. Internship Overview This structured programme offers practical experience in business and financial analysis within a technology-driven environment. You'll work within cross-functional teams to analyse data, develop insights, and contribute to business decision-making processes. Main DutiesSupport the analysis of financial data using various analytical toolsAssist in creating reports and dashboards for business intelligenceHelp identify patterns and trends in complex datasetsCollaborate with technical and non-technical stakeholdersContribute to process improvement initiativesEssential RequirementsCurrent undergraduate in Finance, Business, Economics, Mathematics, Statistics, or related disciplinesStrong analytical capabilities and attention to detailProficiency in data analysis tools (SQL, Excel, Python beneficial but not required)Excellent numerical and statistical reasoningStrong communication skills to present findings to varied audiencesLegal Requirements All candidates must have the right to work in the UK. We cannot provide visa sponsorship for this position. Professional Development This position offers a competitive salary of £24,000-£25,000 (pro-rated). The intersection of business analysis and financial services represents one of the most dynamic and rewarding career paths available. This internship provides foundational experience for roles such as Financial Analyst, Business Intelligence Specialist, or Data Analyst within the financial services sector. The analytical skills developed are highly valued across industries.....Read more...
Our client is seeking a Senior AI/ML Engineer to lead the development and deployment of advanced machine learning models and AI-driven solutions. This is a unique opportunity to join an innovative team focused on pushing the boundaries of applied artificial intelligence and large-scale model optimization.
Role and Responsibilities:
Lead initiatives involving fine-tuning or distillation of large-scale models for specialized tasks.
Design, build, and optimize multi-agent architectures (e.g., LangGraph, AutoGen, crewAI) to enable distributed AI functionality.
Develop and implement multimodal systems integrating text, image, and audio inputs.
Contribute to AI-first features that incorporate feedback loops, human-in-the-loop systems, or adaptive behaviors.
Engage with research and open-source communities through publications or contributions to leading AI projects.
Requirements:
Senior-level experience with a proven track record in AI/ML model development and deployment.
Strong programming skills in Python with experience using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Advanced knowledge in Deep Learning, NLP, and LLM fine-tuning, including hands-on work with Hugging Face Transformers.
Demonstrated experience deploying LLMs (e.g., OpenAI, Anthropic, Mistral) into large-scale production environments.
Proficiency with cloud and MLOps tools (AWS, Azure, GCP, MLflow, Kubeflow, containerization).
Solid understanding of distributed systems and data engineering principles.
Strong knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systems.
Excellent problem-solving skills, analytical mindset, and ability to work independently on complex technical challenges.
Strong communication skills and fluency in English.
For more information – please apply for this job or send your CV directly and we will contact you to provide further details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.....Read more...
Our client is seeking a Senior Data Scientist – GenAI to develop and deploy cutting-edge generative AI models that drive innovation and business impact. Join a forward-thinking team at the forefront of next-generation AI solutions.
Role and Responsibilities:
Development and training of transformer-based models for both text and images.
Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.
Requirements:
Senior with 5+ years of relevant experience
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...)
Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
Strong problem-solving skills and attention to detail.
Good communication skills, fluent English.
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
