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- Tasks: Join us as an AI Engineering Apprentice and shape the future with innovative AI solutions.
- Company: Fast-growing tech manufacturer leading in advanced battery systems.
- Benefits: Earn £25,000-£26,000, enjoy 25 days annual leave, and gain hands-on experience.
- Why this job: Turn your passion for AI into a world-class career while making a real impact.
- Qualifications: Curiosity for AI, familiarity with Python, and a desire to learn and innovate.
- Other info: Collaborative environment with opportunities to work across multiple departments.
The predicted salary is between 20000 - 26000 £ per year.
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 the future of how ABT operates 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 how ABT works. 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 strengthen 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.
Main Duties and 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.
- 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.
Knowledge, Skills and Behaviours:
- 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.
- GCSEs (grade 5/C or above) in English and Maths and further study in relevant area.
- Eligibility to enrol on a relevant degree apprenticeship in AI, Data Science, or Software Engineering.
- Experience building AI workflows, chat-based agents, or automation scripts.
- Understanding of ERPs or CRMs (IFS, Salesforce, HubSpot, Monday.com, 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, accuracy, and professionalism.
Additional Notes
Candidates must be authorised to work in the UK and work onsite from our offices based in Peterlee. We kindly ask that recruitment agencies refrain from contacting us regarding this vacancy. Any unsolicited CVs submitted will be treated as having been provided free of charge, with no agency fees applicable.
AI Engineering Apprentice in North East employer: Alexander Technologies, Inc.
Contact Detail:
Alexander Technologies, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Apprentice in North East
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, automation scripts, or any relevant work you've done. This will give you an edge and demonstrate your hands-on experience when you chat with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and automation. Think about how you can apply your knowledge to real-world problems, just like the ones you'll tackle at ABT.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at ABT.
We think you need these skills to ace AI Engineering Apprentice in North East
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and automation. Share any personal projects or experiences you've had with LLMs or automation tools to really stand out!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant skills and experiences that align with the job description, especially those related to AI workflows and data handling.
Be Clear and Concise: We appreciate clarity! Use straightforward language and avoid jargon where possible. Make it easy for us to understand your skills and how they relate to the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Alexander Technologies, Inc.
✨Know Your AI Basics
Make sure you brush up on your knowledge of AI concepts, especially those related to automation and workflow development. Be ready to discuss any personal projects or experiments you've done with LLMs or automation tools, as this will show your passion and understanding of the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in the past, particularly using data analysis or automation. Think about specific situations where you identified a challenge and implemented a solution, as this aligns perfectly with the role's focus on improving real-world systems.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. The ability to communicate complex ideas clearly is crucial, especially when collaborating with different teams. Consider doing mock interviews with friends or family to refine your communication skills.
✨Demonstrate Your Curiosity
Be prepared to discuss how you stay updated on AI trends and technologies. Show your enthusiasm for learning by mentioning any relevant courses, workshops, or online resources you've engaged with. This will highlight your proactive nature and commitment to continuous improvement.
