What does an ai / machine learning engineer do?
Machine learning engineers turn models into reliable software. They train, deploy and monitor AI systems such as recommendation engines, language models and image recognition.
Salary
These are approximate UK figures for guidance only, not guaranteed salaries. Pay varies by employer, location and experience. Approximate. Check the National Careers Service, Prospects and job adverts for current figures.
How do you become an ai / machine learning engineer?
- A levels including maths
- Computing, maths, physics or engineering degree
- Software or data role, often with a Master's
- AI / Machine Learning Engineer
Most enter with a strong numerate or computing degree, often after experience as a software developer or data scientist.
Routes vary. Always check entry requirements with course providers, employers and the relevant professional body.
Do you need a degree?
Usually required
Main routes in: Degree, Postgraduate degree, Apprenticeship.
Useful subjects
- Maths
- Further maths
- Computing
Skills you'll need
- Python
- Machine learning frameworks
- Software engineering
- Linear algebra and statistics
- Cloud platforms
Where could you work?
- Tech companies
- Finance
- Healthcare
- Research labs
What is the work like?
Software engineering work with a strong maths and data focus, typically hybrid and team-based.
Career progression
Progress to senior or staff ML engineer, research engineer or AI lead.
Not sure whether this career is right for you?
Get personalised STEM career suggestions with the AI Career Advisor.
Try the AI Career AdvisorRelated STEM careers
Related guides
Written by the STEMLaunch Editorial Team. Last updated 2026-10-05. General careers information only; check details with official sources such as the National Careers Service, NHS Careers, UCAS and professional bodies.