AI Engineer Apprentice

QA Apprenticeships; Peterlee; On-site; GBP 20,000 - 30,000; Full time

Job summary

A leading battery technology company in the UK is looking for an AI Engineering Apprentice. This unique opportunity involves embedding AI into production processes, collaborating across teams, and supporting various aspects of engineering and quality assurance. The role emphasizes practical AI automation and data insights, making it perfect for those curious about technology's real-world applications. Candidates should have relevant qualifications and a passion for AI.

Benefits

25 days annual leave + bank holidays

Pension scheme

Early finish Friday

Canteen

Qualifications

• Acceptable qualifications for the role include two A-levels in similar subjects.
• Familiarity with automation platforms and API integrations is desired.
• High attention to detail and ownership of tasks are essential.

Responsibilities

• Help design and deploy AI automation across various departments.
• Support data engineering and insight generation through analysis.
• Collaborate with teams on AI task automation and workflow development.

Skills

Strong analytical and problem-solving capabilities

Curiosity and passion for AI automation

Familiarity with Python

Excellent communication skills

Experience building AI workflows

Understanding of ERPs or CRMs

Education

Two A-levels in similar subjects plus B in A-Level maths

Level 4 or 5 apprenticeship in similar technical subject

International Baccalaureate at Level 3 in similar subject

Job description

About Alexander Battery Technologies:

Alexander Battery Technologies (ABT) is a UK-based manufacturer specialising in custom lithium‑ion battery packs for OEMs across sectors including e‑mobility, medical devices, robotics, tools and industrial equipment. With over 40 years of experience ABT provides end‑to‑end services from design and prototyping to testing, certification and high‑volume production, delivering more than 15 million battery products worldwide.

About the role:

This is a rare opportunity to join a fast‑growing, technology‑driven manufacturer at the forefront of advanced battery systems. As our AI Engineering Apprentice you will help shape how ABT operates by embedding AI into real production environments, engineering workflows, customer delivery processes and the systems that underpin our global operations.

The role combines a degree‑level apprenticeship with hands‑on work implementing AI automation across the business. You will collaborate with Engineering, Quality, Production, Supply Chain, HR, Project Management and Commercial teams to design, build and deploy practical AI solutions that accelerate ABT’s work. You will help us automate manual tasks, connect AI agents to our CRM and ERP systems, strengthen customer interactions with data‑driven proof packages and explore new AI‑enabled capabilities that reinforce our position as a UK leader in custom battery technology.

This role is ideal for someone who is already experimenting with LLMs, automation tools, workflow builders or API‑driven AI agents and wants to turn that passion into a world‑class career.

Responsibilities:

AI automation & workflow development:

• Build and deploy automations that reduce manual workload across the business (e.g. engineering reporting, quality checks, customer updates, goods‑in documentation, production forecasting).
• Create AI workflows that integrate with our CRM and ERP systems (including IFS Cloud) enabling smarter insights, rapid data retrieval and improved traceability.
• Maintain AI agents that support internal teams including text‑analysis bots, report generators and knowledge‑retrieval tools.

Data engineering & insight generation:

• Clean, structure and analyse company data to support decision‑making.
• Produce proof packages for customers – data‑driven documents that showcase validation results, quality records, traceability and technical strength.
• Build dashboards and visual analytics tools that help teams understand trends, risks and opportunities in real time.

Support for engineering, quality and production:

• Collaborate with Engineering to trial AI in simulation, predictive modelling, test scheduling and component analysis.
• Work with the Quality team to automate FAI checks, SPC monitoring, supplier performance analysis and NCR triage.
• Assist Production with digital work instructions, anomaly detection and AI‑supported training materials.

Enterprise‑level AI integration:

• Contribute to long‑term AI architecture decisions, choosing tools, shaping governance and ensuring safe/auditable AI use.
• Support cybersecurity compliance and data‑handling standards within AI workflows.
• Help ABT prepare for next‑generation technologies such as autonomous testing, generative engineering tools and vision‑enabled defect capture.

Desirable skills:

• Strong analytical and problem‑solving capabilities.
• Curiosity and passion for AI automation and how technology can improve real‑world systems.
• Familiarity with Python, no‑code automation platforms, API integrations or LLM‑based tools (OpenAI, Claude, etc.).
• Comfortable working with datasets, spreadsheets or basic data pipelines.
• Excellent communication skills, able to explain complex ideas simply.
• High attention to detail and ownership of tasks from start to finish.
• Experience building AI workflows, chat‑based agents or automation scripts.
• Understanding of ERPs or CRMs (IFS, Salesforce, HubSpot, etc.).
• Knowledge of manufacturing engineering or electronics (not essential but beneficial).
• Proactive, creative and self‑driven.
• Naturally curious, eager to test ideas, learn fast and iterate.
• Collaborative, comfortable working across multiple departments.
• Committed to high standards of accuracy and professionalism.

Entry requirements:

Acceptable qualifications include any of:

• Two A‑levels in one or more similar subjects plus a B in A‑Level maths.
• Two A‑levels in one or more similar subjects plus 2 years of work experience in tech.
• Level 4 or 5 apprenticeship in a similar technical subject.
• International Baccalaureate at Level 3 in a similar subject.
• 3 years in a similar subject‑related role.
• A first degree in a numerate discipline (but excluding Computer Science as not fundable).

Applicants with a combination of qualifications and experience that demonstrate the minimum foundation needed for this instance may still be considered for the programme. If you hold international equivalents of the above qualifications, you must be able to provide an official document that states how your international qualifications compare to UK qualifications.

For more information please visit the UK ENIC website.

Working hours:

37.5 hours per week.

Benefits:

• 25 days annual leave + bank holidays.
• Pension scheme.
• Early finish Friday.
• Canteen.

Interested? Apply now!

Please be advised that this advert may close prior to the closing date stated above if a high number of applications are received. If you are interested in this vacancy please apply below as soon as possible.