AI Engineer Apprentice (Vital Parts Ltd)

Collaborating with our software development team to explore, test, and integrate AI technologies into our existing systems and workflows Developing and maintaining machine learning models with real-world applications tailored to our business needs Assisting in data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy Supporting in the automation of internal processes using AI tools and techniques Participating in regular sprint meetings, code reviews, and collaborative problem-solving sessions Conducting research into new AI trends, tools, and frameworks to help shape future development strategies Helping to maintain documentation and support the delivery of clean, scalable, and well-tested code

Training:

BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.

Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.

Training Outcome:

Growth potential within our rapidly growing software development teams, into system owners, and cross over to related department such as website/marketing.

Employer Description:
At Vital Parts Ltd we manufacture and distribute a vast range of Plastic, Rubber and Metal Components, operating from three locations: Our Head Office and Warehouse in Maidstone, Kent as well as our Technical Branch in Bournemouth, Dorset. We employ a wealth of technical knowledge and experience, striving to provide an excellent service. Our aim is to innovate the industry through an easy-to-use website, friendly support from our staff and a highly efficient order process, to meet your high standards every time you shop with Vital Parts.

Working Hours :
Monday to Friday. Shifts to be confirmed.

Skills:
Communication skills,Problem solving skills,Microsoft Office skills,A foundation in programming,Algorithms and data structures,Familiarity with data handling,Proactive attitude,Curiosity-driven mindset