AI Engineer Degree Apprenticeship - UYR

AI Engineer Degree Apprenticeship - UYR

About UYR:

As a leading supplier of technology-driven marketing solutions, we partner with some of the UK’s biggest names across retail and hospitality sectors. We are committed to delivering innovative end-to-end print solutions that empower big brands. As we expand our capabilities in artificial intelligence, we are seeking a forward-thinking AI Engineer Apprentice to join our team. This role offers a unique opportunity to contribute to cutting-edge projects while gaining a formal qualification through a government-approved apprenticeship programme.

About the role:

You will study part-time towards the AI Level 6 qualification while working on live projects. We’re looking for someone with a solid technical foundation in AI and Machine Learning whether gained through academic study, self-learning, or hands-on experience who is ready to apply their skills in a dynamic, real-world environment.

You’ll be involved in strategic areas of applied AI, including:

• Agentic AI for process optimisation
• Research and prototype autonomous AI agents to enhance workflow efficiency
• Explore orchestration frameworks (e.g. LangChain, CrewAI, OpenAI Assistants)
• Design intelligent tools to support high-volume or time-critical operations
• Real-time accessibility
• Develop live captioning and transcription systems to support inclusive services
• Work with ASR technologies (e.g. Whisper, Deepgram, Google Speech API)
• Address challenges like low-latency transcription and speaker diarisation

Responsibilities:

• Support the design and testing of AI-driven solutions across client and internal projects
• Conduct applied research into LLMs, agentic AI, speech technologies, and more
• Translate user needs into technical experiments and prototypes
• Contribute to codebases, documentation, and testing efforts
• Participate in workshops and stakeholder engagements
• Apply academic learning to practical project work

Who we’re looking for:

• You may be:
• A graduate or undergraduate in Computer Science, AI, Data Science, or related fields
• A self-taught AI/ML practitioner with relevant projects
• An early-career technologist seeking formal qualifications and impactful work

Essential skills:

• Strong foundation in AI/ML (e.g. neural networks, NLP, transformers)
• Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow)
• Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper)
• Understanding of agentic AI frameworks (e.g. LangChain, AutoGen)
• A passionate, motivated and driven person

Desirable skills:

• Experience with ASR or captioning tools
• Knowledge of accessibility standards (e.g. WCAG)
• Exposure to cloud platforms (e.g. AWS, Azure)
• Experience in client-facing roles or service delivery

Entry requirements:

• Acceptable qualifications include any of:
• Two A-levels in one or more similar subject plus B in A-Level maths.
• Two A-levels in one or more similar subject plus 2-years 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).
• You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.
• If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.For more information please visit the UK ENIC website.

Working hours:

40 hours per week.

What you’ll gain:

• A fully funded qualification through a recognised UK apprenticeship programme
• Experience working with leading clients in media and creative sectors
• Mentorship from experienced professionals
• A flexible and inclusive working environment
• Opportunities to work on projects that combine advanced technology with real-world impact

Additional benefits:

• Paid annual leave / holiday entitlement
• Career progression
• Learning and development opportunities
• Onsite carpark

Future prospects:

90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.

How to apply

To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.