AI Engineer Apprentice

Responsibilities

• check_circle AI & cloud engineering: assist in the design, development and deployment of production generative AI and agentic AI solutions on AWS (including Amazon Bedrock) under the guidance of senior engineers, and support our Solution Architects with implementing cloud best practices
• check_circle Code quality & debugging: write clean, maintainable code and participate in code reviews. Take initiative in debugging, troubleshooting and resolving issues in collaboration with the team
• check_circle Client collaboration: join client calls, demos and project check-ins. Our engineers are customer-facing, so you will learn to communicate technical work clearly to non-technical audiences
• check_circle Learning & development: complete your apprenticeship modules (building with GenAI, optimising business processes with AI, AI security and ethics, deep learning and transformers, testing and deployment) and apply them to real projects. Work towards AWS certifications with our support
• check_circle Agile participation: engage in daily stand-ups, sprint planning and retrospectives, contributing insights to improve team workflows and deliver on time
• check_circle Hands-on with code. Python is our main language, but we care more that you understand what your code is doing. Personal projects or a GitHub profile count as much as commercial experience, none of which is required
• check_circle Genuinely curious about AI. You have experimented with LLMs, AI coding tools or built something with AI models in your own time, and you can tell us why you want a career in it
• check_circle Aware of cloud fundamentals. Any AWS exposure is a plus, not a requirement
• check_circle An effective communicator who values collaboration and is comfortable speaking with clients
• check_circle A problem-solver who can independently seek out solutions and ask the right questions when needed
• check_circle Detail-oriented and committed to producing high-quality, reliable work
• check_circle Are driven by learning and applying new technologies quickly and effectively
• check_circle Thrive in collaborative, dynamic environments and are committed to clear communication and continuous improvement
• check_circle Have a strong work ethic and take pride in delivering high-quality solutions
• check_circle Are excited to build a career in AI engineering and want to tackle complex problems with a forward-thinking team
• check_circle Two A-levels in one or more similar subject plus B in A-Level maths.
• check_circle Two A-levels in one or more similar subject plus 2-years work experience in tech.
• check_circle Level 4 or 5 apprenticeship in a similar technical subject.
• check_circle International Baccalaureate at Level 3 in a similar subject.
• check_circle 3+ years in a similar subject-related role.
• check_circle A first degree in a numerate discipline (but excluding Computer Science as not fundable).

Benefits

• check_circle A funded degree-level qualification: the Level 6 AI Engineer apprenticeship delivered by QA, plus access to QA’s full learning platform during the programme and for a year after.
• check_circle Paid certifications & training: we fund AWS certifications and invest in your technical growth.
• check_circle Pension scheme: workplace pension.
• check_circle Team socials & events: a supportive, close-knit team that values learning and knowledge-sharing.
• check_circle Cutting-edge projects: hands-on exposure to Amazon Bedrock, Claude, and production AI systems used by real customers.

About the company