AI Engineer Apprentice (Vital Parts Ltd)

Summary

As part of our digital and development team, you’ll be joining a business that values creativity, collaboration, and continuous improvement. We are looking to recruit a AI Engineering Apprentice to join the team as we continue to increase of software capability and efficiency.

Wage

£30,000 a year

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Training course

Data scientist (integrated degree) (level 6)

Hours

Monday to Friday. Shifts to be confirmed.

40 hours a week

Start date

Monday 1 September 2025

Duration

1 year 6 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

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

Where you'll work

UNIT 17
PALACE INDUSTRIAL ESTATE BIR
MAIDSTONE
KENT
ME15 9XU

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

BPP PROFESSIONAL EDUCATION LIMITED

Your training course

Data scientist (integrated degree) (level 6)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.

Your training plan

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.

Requirements

Essential qualifications

GCSE in:

5 GCSE's including English and Maths (grade (A*-C))

A Level in:

Level 3 qualification such as A-Levels (grade (A*-C/9-4 or equivalent))

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

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

Other requirements

To be eligible for this programme, you must be employed in a relevant role and as a minimum have five GCSEs at grades 9 to 4 (A* to C) and a Level 3 qualification such as A-Levels (or equivalent). You must not hold an existing qualification at the same or higher level as this apprenticeship in a similar subject. What we can offer you: · Companywide monthly bonus scheme · Smart/Casual dress · Company pension · On-site parking · Hybrid – work from office and at home · 33 Days Holiday inclusive of Bank Holidays · Work from Anywhere weeks · Earn up to 7 additional paid off days per year

About this company

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.

After this apprenticeship

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

Ask a question

The contact for this apprenticeship is:

BPP PROFESSIONAL EDUCATION LIMITED

Sean Hove

SeanHove@bpp.com

01133500333

The reference code for this apprenticeship is VAC1000330134.

Apply now

Closes in 13 days (Monday 21 July 2025 at 11:59pm)

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