AI Engineer

AI engineers turn AI models into working products, such as chatbots, search tools and automated assistants. They choose and adapt models, connect them to data and apps, test their output and keep them reliable and safe.

These are approximate UK figures for guidance only, not guaranteed salaries. Pay varies by employer, location and experience. Approximate. Based on National Careers Service ranges and UK job adverts; check current figures before deciding.

1. A levels including maths
2. Computer science, maths or related degree, or a software apprenticeship
3. Software or data role
4. Build AI projects and skills
5. AI Engineer

Most AI engineers start as software developers or data scientists. A computing or maths degree helps, and some take a Master's in AI, but strong programming skills and a portfolio of AI projects matter a lot.

Routes vary. Always check entry requirements with course providers, employers and the relevant professional body.

Often useful but not essential

Main routes in: A levels, Degree, Postgraduate degree, Apprenticeship, Other routes.

• Maths
• Further maths
• Computing

• Python
• Machine learning basics
• Working with AI models and APIs
• Software engineering
• Testing and evaluation

• Tech companies
• Start-ups
• Finance
• Healthcare
• Consultancies

Computer-based, usually hybrid. Mostly coding, testing and experimenting, working closely with software developers, data scientists and product teams.

Progress to senior or lead AI engineer, machine learning architect or head of AI.

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