Our client works on very challenging and exciting projects and is looking for a Tech Lead (QA & Agile Delivery)
Skills and Experience:
Proven experience in QA automation using Python and Selenium.
Hands-on experience with low-code automation platforms (strongly preference for AccelQ).
Strong understanding of Scrum/Agile methodologies and SDLC.
Familiarity with GenAI concepts, AI/ML fundamentals, and data handling.
Experience with API testing, integration testing, and CI/CD pipelines.
Solid grasp of DevOps, cloud environments, and SQL-based data validation.
Leadership experience
Familiar with Azure Devops
Further Information:
Duration: Long term contract (B2B)
Workload: Remote
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Our client works on very challenging and exciting projects and is looking for a Tech Lead (QA & Agile Delivery)
Skills and Experience:
Proven experience in QA automation using Python and Selenium.
Hands-on experience with low-code automation platforms (strongly preference for AccelQ).
Strong understanding of Scrum/Agile methodologies and SDLC.
Familiarity with GenAI concepts, AI/ML fundamentals, and data handling.
Experience with API testing, integration testing, and CI/CD pipelines.
Solid grasp of DevOps, cloud environments, and SQL-based data validation.
Leadership experience
Familiar with Azure Devops
Further Information:
Duration: Long term contract (B2B)
Workload: Remote
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Are you ready to dive into the high-stakes world of data and cutting-edge financial technology? Do you have a technical, analytical mind and a passion for turning complex data into powerful solutions?
What You'll Be Doing: The Technical Core of Client SuccessYou'll be the technical linchpin in client onboarding and implementation projects. You'll move beyond theory and get hands-on with real-world data integration:
Data Transformation: Work with various complex data formats (JSON, XML, CSV) and use tools like Jinja2 transforms to integrate client data into the firm’s own platform
Integration & APIs: Get comfortable using APIs and SFTP to build seamless data transmission layers between their clients and their award-winning software
Problem-Solving: Quickly debug, manipulate, and validate large, complex datasets, owning the process for resolving data and market data issues
Tooling & Automation: Contribute to their internal efficiency by scripting in Python for internal tooling and utilising automation tools like SoapUI and Postman
Documentation: Create clear, essential documentation for both internal and external stakeholders
What We’re Looking For
GCSE Grade C/4 or above in Maths & English (or equivalent)Please note: an IT related qualification higher than Level 2 (Level 3 or 4, degree, master's etc) will make you ineligible for the apprenticeship, as you will be overqualified
You don't need to know everything, but you need a strong foundation and a hunger to learn. We want to hear from you if you’ll bring:
A technical & analytical mindset with a keen interest in data and the financial markets
Experience working with complex datasets and a strong attention to detail
Familiarity with APIs, SFTP, and a good understanding of the Python coding language
Exceptional internal motivation to learn and take ownership
Bonus points for an understanding of financial instruments, particularly Prime Brokerage business experience, but this is not essential
Training & Development
You will complete a Level 3 Digital Support Technician Apprenticeship, covering:
Operate digital information systems
Digital architecture (physical storage vs cloud, the role of operating systems and servers)
Maintaining end-user systems (software, hardware and operating systems)
Information security principles
System security
Account management (optional)
Managing & analysing data
Digital marketing
This apprenticeship offers blended learning, combining online training with practical workplace experience, setting you up for a successful career.
What Sets Our Client Apart?
Global Impact: An established, core utility provider trusted by hedge funds, asset managers, and banks worldwide
Award-Winning: Recognised as a 'Best Derivatives Tech Provider' and an 'Analytics Leader' in the industry
Cutting-Edge Tech: Their platform delivers real-time, front-to-back analytics on the full cost of derivatives trading, helping clients reduce margin and optimise collateral
Career Growth: They foster a collaborative, energetic team dedicated to continuous learning and empowering our employees to reach their full potential
Training:Learners who complete the Digital Support Technician Level 3 Apprenticeship will gain an understanding of the following knowledge and skills.
Non-technical skills
• Critical thinking• Effective communication• Customer service• Problem solving• Managing risk and decision making• Coaching and guiding
Technical skills
• Operate digital information systems• Digital architecture (physical storage vs cloud, the role of operating systems and servers).• Maintaining end-user systems (software, hardware and operating systems)• Information security principles• System security• Account management (optional)• Managing & analysing data• Digital marketingTraining Outcome:The right candidate has the opportunity to be taken on permanently and cross train in other departments. Employer Description:Founded in 2014, Cassini are the established, core utility provider of analytics and optimisation tools built for the derivatives industry, and are based in East Central LondonWorking Hours :Monday to Friday 9am to 6pm.Skills: Communication skills,IT skills,Attention to detail,Problem solving skills,Analytical skills,Logical,Initiative,Python,Interest in data,Interest in financial markets....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...
My client is a rapidly growing Greentech company that is dedicated to using machine learning and data analysis to reduce carbon footprint and improve operational efficiency. They are currently seeking an experienced Data Scientist to join their expanding team. In this role, you will be responsible for analyzing and developing algorithms, processing and visualizing large datasets, and supporting the deployment of cloud-based services.
Key Responsibilities
Analyze and develop algorithms to improve operational efficiency and reduce carbon footprint.
Process and visualize large datasets to identify key insights and trends.
Collaborate with cross-functional teams to implement data-driven solutions.
Support the deployment of cloud-based services to improve data accessibility and accuracy.
Candidate Requirements
Master's degree in a highly numerate subject, such as Computer Science, Mathematics, or Statistics.
Proven experience working with Python libraries, such as Pandas, for data manipulation and analysis.
Strong experience working with large datasets, deep learning, and regression analysis.
Solid knowledge of SQL.
Familiarity with AWS is a plus.
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Join our innovative research team dedicated to advancing Global Navigation Satellite System (GNSS) technologies. As a Research Engineer specialising in GNSS signal processing, you'll play a pivotal role in our research efforts to improve GNSS positioning performance. You'll work on cutting-edge projects, developing novel algorithms and techniques to mitigate errors, enhance signal integrity, and optimise positioning accuracy in challenging environments.
Key Responsibilities:
Your responsibilities will include conducting research to advance GNSS signal processing techniques.
Designing and implementing algorithms for error correction, multipath mitigation, and signal enhancement.
Experience:
A strong background in signal processing, particularly in the context of GNSS or related technologies. Experience with GNSS receivers, signal processing algorithms, and familiarity with tools such as MATLAB or Python for algorithm development and simulation is essential.
Knowledge of error sources in GNSS, such as ionospheric and tropospheric effects, multipath, and receiver noise, is highly desirable.
Kalman filters and other probabilistic estimation techniques....Read more...
My client is a rapidly growing Greentech company that is dedicated to using machine learning and data analysis to reduce carbon footprint and improve operational efficiency. They are currently seeking an experienced Data Scientist to join their expanding team. In this role, you will be responsible for analyzing and developing algorithms, processing and visualizing large datasets, and supporting the deployment of cloud-based services.
Key Responsibilities
Analyze and develop algorithms to improve operational efficiency and reduce carbon footprint.
Process and visualize large datasets to identify key insights and trends.
Collaborate with cross-functional teams to implement data-driven solutions.
Support the deployment of cloud-based services to improve data accessibility and accuracy.
Candidate Requirements
Master's degree in a highly numerate subject, such as Computer Science, Mathematics, or Statistics.
Proven experience working with Python libraries, such as Pandas, for data manipulation and analysis.
Strong experience working with large datasets, deep learning, and regression analysis.
Solid knowledge of SQL.
Familiarity with AWS is a plus.
....Read more...
Join our innovative research team dedicated to advancing Global Navigation Satellite System (GNSS) technologies. As a Research Engineer specialising in GNSS signal processing, you'll play a pivotal role in our research efforts to improve GNSS positioning performance. You'll work on cutting-edge projects, developing novel algorithms and techniques to mitigate errors, enhance signal integrity, and optimise positioning accuracy in challenging environments.
Key Responsibilities:
Your responsibilities will include conducting research to advance GNSS signal processing techniques.
Designing and implementing algorithms for error correction, multipath mitigation, and signal enhancement.
Experience:
A strong background in signal processing, particularly in the context of GNSS or related technologies. Experience with GNSS receivers, signal processing algorithms, and familiarity with tools such as MATLAB or Python for algorithm development and simulation is essential.
Knowledge of error sources in GNSS, such as ionospheric and tropospheric effects, multipath, and receiver noise, is highly desirable.
Kalman filters and other probabilistic estimation techniques....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
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About the Role
Are you passionate about turning data into insights that drive real decisions? We’re looking for a motivated and analytical individual to join our team as a Data Analyst (Level 4) Apprentice.
As part of this apprenticeship, you’ll learn how to collect, analyse and interpret data to support key business decisions. You’ll gain hands-on experience working with modern data tools and techniques while studying towards a nationally recognised Level 4 Data Analyst qualification.
Key Responsibilities
Collect, clean, and validate data from various internal and external sources
Use tools such as Excel, Power BI, SQL, and Python to analyse data and create visual reports
Support data-driven decision-making across teams by providing insights and trend analysis
Assist in maintaining data quality and developing dashboards and performance metrics
Collaborate with business teams to understand their data needs and present findings clearly
Contribute to continuous improvement projects and help automate manual reporting processes
What We’re Looking For:
A genuine interest in data, numbers, and problem-solving
Strong attention to detail and logical thinking
Good communication skills – able to explain data in a clear and engaging way
Competent in Microsoft Excel; any exposure to Power BI, SQL, or Python is a bonus
GCSEs (or equivalent) in English and maths at Grade 4/C or above
A-levels or equivalent Level 3 qualification preferred
Training and Development:
You’ll receive full support from both your line manager and your apprenticeship training provider
During your apprenticeship, you’ll work towards the Data Analyst Level 4 Apprenticeship Standard, developing technical skills in data analysis, visualisation, and database management
Training:
Data analyst (level 4) Apprenticeship Standard
Training Outcome:Opportunities for Growth:
Develop a career in digital marketing, community management, or learner recruitment
Gain hands-on experience in social media, online engagement, and digital campaigns
Progress into a full-time digital community or marketing role post-apprenticeship
Employer Description:We are a national training provider of high-quality apprenticeship training within the digital sector. Specialising in Level 3 - Level 6 Digital and IT Apprenticeships, we empower learners with industry-relevant skills while supporting businesses to grow through apprenticeship programmes.Working Hours :Monday- Friday, 8.45am- 5.15pmSkills: Communication skills,IT skills,Attention to detail,Organisation skills,Customer care skills,Problem solving skills,Administrative skills,Number skills,Analytical skills,Logical,Team working,Initiative,Patience....Read more...
Are you a talented and experienced Senior Data Engineer looking for an exciting opportunity to join a leading digital transformation company in London? As a Senior Data Engineer, you will collaborate with cross-functional teams, identify challenges, and develop innovative solutions to drive our data-driven initiatives forward.
Responsibilities:
Designing and building scalable pipelines to handle large volumes of data.
Automating data ingestion and cleaning processes for efficient data processing.
Directing the flow of data and ensuring data quality and integrity.
Collaborating with data professionals and cross-functional teams to identify and address data-related challenges.
Staying up to date with the latest trends and technologies in data engineering.
Requirements:
Strong proficiency in Python, with a deep understanding of its data processing and manipulation capabilities.
Extensive experience with ETL (Extract, Transform, Load) and data integration solutions.
Proficiency in using the Azure data engineering stack for data processing and analytics.
Solid knowledge of Snowflake, Databricks, and Spark for data manipulation and analysis.
Experience with version control systems, particularly GIT....Read more...
Are you a talented and experienced Senior Data Engineer looking for an exciting opportunity to join a leading digital transformation company in London? As a Senior Data Engineer, you will collaborate with cross-functional teams, identify challenges, and develop innovative solutions to drive our data-driven initiatives forward.
Responsibilities:
Designing and building scalable pipelines to handle large volumes of data.
Automating data ingestion and cleaning processes for efficient data processing.
Directing the flow of data and ensuring data quality and integrity.
Collaborating with data professionals and cross-functional teams to identify and address data-related challenges.
Staying up to date with the latest trends and technologies in data engineering.
Requirements:
Strong proficiency in Python, with a deep understanding of its data processing and manipulation capabilities.
Extensive experience with ETL (Extract, Transform, Load) and data integration solutions.
Proficiency in using the Azure data engineering stack for data processing and analytics.
Solid knowledge of Snowflake, Databricks, and Spark for data manipulation and analysis.
Experience with version control systems, particularly GIT....Read more...
Our client works on very challenging and exciting projects and is looking for a Senior Data Scientist.
Skills and 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.
Further Information:
Duration: Long term contract (B2B)
Workload: Remote
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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
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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
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DevOps Engineer – Burton upon TrentHybrid 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...
We are looking for an experienced Senior Machine Learning Engineer to join one of our client's team.
Skills and Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Advanced Python and machine learning frameworks (Keras, SciPy, Scikit-learn, TensorFlow, PyTorch, Spark MLlib ...) knowledge.
Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
Strong understanding of the whole ML lifecycle and experience with MLOps/DataOps.
Experience with data processing frameworks like Apache Spark or similar.
Proficiency in SQL, RDBMS/NoSQL data stores and appropriate use cases.
Experience with version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes.
Proven experience in GPU cluster development and management is a plus.
Experience with orchestrated LLM applications is a plus.
Strong problem-solving skills and attention to detail.
Good communication skills, fluent English.
If interested, please get in touch via contact details provided or click “Apply” to forward an up-to-date copy of your CV.
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 works on very challenging and exciting projects and is looking for a Lead AI Engineer.
Skills and Experience:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong expertise in Python, with a focus on FastAPI, Pandas, and NumPy.
Experience with Retrieval Augmented Generation (RAG).
Proficiency in Prompt Engineering.
Knowledge of vector databases and embedding models.
Familiarity with frameworks such as LangChain, LangGraph, and LlamaIndex.
Experience with multi-agent libraries/frameworks like CrewAI, Autogen, and Taskweave.
Hands-on experience with Azure cloud services, including Azure Functions.
Familiarity with other cloud platforms and their AI services is a plus, but Azure experience is mandatory.
Understanding of data engineering concepts, including data pipelines, data integration, and data warehousing.
Ability to work with large datasets and perform data cleaning, transformation, and manipulation.
Experience with version control, small and regular commits, unit tests, CI/CD, packaging, and Docker.
Knowledge of AI ethics, bias mitigation, and responsible AI practices is a plus.
Strong analytical thinking and creative problem-solving skills.
Good communication skills for collaborating with cross-functional teams and stakeholders.
Further Information:
Duration: Long term contract (B2B)
Workload: Remote
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Programming fundamentals & databases
IT project management & cyber security
Full stack web development
Software design, architecture & enterprise programming
Testing, quality assurance & professional practice
By the end, you’ll graduate with a degree-level qualification and four years of hands-on experience. Training Outcome:You’ll master:
Python, Java and other core languages
Databases, networks and security
Full stack web development
Agile teamwork and modern software practices
Employer Description:At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.Working Hours :Monday - Friday. Shifts TBCSkills: Communication skills,IT skills,Attention to detail,Organisation skills,Team working,Initiative....Read more...
We are seeking an experienced Data Engineer to design, build, and maintain data pipelines and solutions that capture, manage, and transform structured and unstructured data from multiple sources. Youll play a key role in delivering reliable, scalable, and real-time data tools that support internal teams, partners, and customers.
Based in London with a very attractive hybrid working arrangement, this will be a 12-month contract (extension likely). The rate is negotiable dependant on experience (inside IR35).
What youll do:
- Build and optimise data pipelines, integrating multiple data sources into cloud and database storage solutions.
- Develop automated processes to cleanse, organise, and transform big data while maintaining accuracy and integrity.
- Collaborate with data engineers, software engineers, and data scientists to deliver functional, scalable, and reliable solutions.
- Resolve complex technical issues and document processes clearly.
What youll need:
- 5+ years professional experience in Python (including data manipulation packages) and SQL.
- Strong understanding of Object-Oriented Programming (OOP) and familiarity with Airflow.
- Knowledge of the full Software Development Lifecycle.
- Excellent problem-solving skills, attention to detail, and ability to work independently.
What will help you succeed:
- Experience with big data frameworks (Spark, Hadoop, Kafka), cloud platforms (AWS, GCP), and data warehousing solutions (PostgreSQL, BigQuery).
- Familiarity with CI/CD pipelines, Docker/Kubernetes, Git, and Linux scripting.
- Strong communication skills and a collaborative mindset, with the ability to mentor team members.
- Background in aviation connectivity or telecommunications is a plus.
If youre passionate about building innovative data solutions and enjoy working with complex systems at scale, wed love to hear from you.
RW....Read more...
SQL and advanced data joins (yes, the fun kind) Predictive modelling & forecasting (basically, time travel with stats)
Data visualisation & storytelling (making numbers talk)
Analytics lifecycles & data democratisation
Statistical programming languages
Building data products people actually use
Training Outcome:You’ll master:
SQL, Python and other stats superpowers
Visualisation that makes people go “oh, now I get it”
Forecasting and modelling
AI literacy and applied analytics
Turning complexity into clarity
Employer Description:At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.Working Hours :Monday - Friday, shifts to be confirmed.Skills: Communication skills,IT skills,Attention to detail,Organisation skills,Analytical skills,Team working....Read more...
SQL and advanced data joins (yes, the fun kind) Predictive modelling & forecasting (basically, time travel with stats)
Data visualisation & storytelling (making numbers talk)
Analytics lifecycles & data democratisation
Statistical programming languages
Building data products people actually use
Training Outcome:You’ll master:
SQL, Python and other stats superpowers
Visualisation that makes people go “ohhh, now I get it”
Forecasting and modelling
AI literacy and applied analytics
Turning complexity into clarity
Employer Description:At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.Working Hours :Monday - Friday, shifts to be confirmed.Skills: Communication skills,IT skills,Attention to detail,Organisation skills,Analytical skills,Team working....Read more...
An exciting opportunity has arisen for an experienced Hardware Development Engineer to join a fast-paced, multi-disciplinary team designing and delivering secure digital hardware solutions. This is a hands-on role covering the full development lifecycle, from concept and design through to testing, production support, and customer integration.
What Youll Do
- Take ownership of hardware design and delivery across the entire product lifecycle.
- Specify and design high-speed digital boards for products and test equipment.
- Create, build, and test development and production test equipment.
- Capture schematics and support PCB layout activities.
- Collaborate closely with Mechanical, Software, and Systems engineers to ensure seamless integration.
- Perform hardware design verification and support system/software testing.
- Produce development and production test processes and documentation.
- Provide production support, including resolving test and manufacturing issues and training production staff.
- Address design changes, component obsolescence, and integration of secure data products into customer platforms.
What Were Looking For
- Degree in Electronic Engineering or a related discipline.
- Full hardware development lifecycle experience with a strong grasp of electronic design fundamentals.
- Proven track record in high-speed digital circuit development and signal integrity.
- Skilled in hardware testing and troubleshooting using oscilloscopes, logic analysers, and similar tools.
- Proficiency with industry-standard CAD tools (e.g., Cadence or Mentor schematic/layout).
- Must be a UK national and able to obtain UK Security Clearance (SC).
Desirable Skills
- Experience supporting production and applying Design for Test (DFT) and Design for Manufacture (DFM) techniques.
- Embedded firmware design (C/C++/Assembler/Python).
- Software design for test and test-equipment development.
- Ability to write test specifications and conduct hardware/system testing.
This is a fantastic opportunity to work on innovative, secure hardware technologies, contributing to projects with real-world impact while developing your expertise in a collaborative and forward-thinking engineering environment.
RW....Read more...
We are looking for an experienced AI/ML Engineer to join one of our client's team.
Role and Responsibilities:
Maintain and extend our Recommendation back-end.
Design, develop, run and evaluate online AB-tests to improve the quality of recommenders.
Support operational excellence through practices like code review and pair programming.
The entire team is responsible for the operations of our services. This includes actively monitoring different applications and their infrastructure as well as intervening to solve operational problems whenever they arise.
Keep up with developments in the wide field of Recommendations and Machine Learning.
Skills and Qualifications:
Degree in computer science, artificial intelligence, a related field, or relevant prior experience
AWS, Kafka, Python (FastAPI), SQL, Docker, Spark
4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Affinity with data analysis
Pre-existing knowledge or experience with machine learning modelling
Interest in NLP
A natural interest in digital media products.
If interested, please get in touch via contact details provided or click “Apply” to forward an up-to-date copy of your CV.
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...
A growing medical devices company in Cambridge are searching for an experienced research and development test engineer to join their in-house testing team.
As a Mechanical Test Engineer within this organisation, you will be utilising your experience to determine the performance and reliability of brand-new physical products within the medical devices sector.
You will be charged with building prototypes and designing and running experiments to gather performance data on new products as well as created novel test methods and protocols. You will be working closely with the laboratory manager to help push the team forward with new ideas.
It will be your role to ensure that exciting new breakthrough products can make the successful transition from initial concept to verification and manufacturing. This will be done by creating bespoke prototypes and testing programmes which will provide detailed data and insights that can be translated into real-world improvements.
To be considered for this role, we are ideally looking for a candidate who has the following;
Experience of mechanical testing on physical products with knowledge of force testing equipment.
Working knowledge of LabView or basic python programming experience.
A methodical and structured approach to solving problems
The company are offering tailored packages for the right engineer which includes a series of benefits including performance bonuses, free lunches and breakfasts and competitive pension plan.
If you would like to find out more about this opportunity, make an application now and one of our team will be in touch to discuss it further.
Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the Medical Devices, Scientific Engineering, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors throughout Europe and the US.
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