Artificial intelligence (AI) engineer
Artificial intelligence (AI) engineers develop programs and algorithms which teach a machine or computer to carry out tasks and learn from them.
What you'll do
Day-to-day tasks
Artificial intelligence (AI) engineers work in many different parts of the economy.
For example in healthcare, you might develop screening tools to detect disease, while in manufacturing you could program robotic systems to learn new ways to improve production.
Generally, as an AI engineer, you'll:
- work with businesses to understand the problems they want to solve
- develop machine learning models and algorithms
- run tests on prototypes and analyse data to make improvements
- find and fix problems or 'bugs'
- assess the risks associated with new machine learning programs
- work as part of a team to roll out AI solutions
- stay up to date with the latest advancements in AI
Working environment
You could work in an office, at a client's business or remotely.
Career path and progression
With experience, you could:
- move into a more senior role
- take responsibility for your team or a project
- set up your own business
- work as a consultant
You may find opportunities to work internationally by travelling overseas or working remotely.
What it takes
Skills and knowledge
You'll need:
- maths knowledge
- analytical thinking skills
- to be thorough and pay attention to detail
- knowledge of engineering science and technology
- the ability to write computer programs
- the ability to come up with new ways of doing things
- knowledge of systems analysis and development
- persistence and determination
- to have a thorough understanding of computer systems and applications
How to become
You can get into this job through:
- a university course
- an apprenticeship
You could do a degree in a subject like:
- artificial intelligence (AI)
- software engineering
- computer science
- data science
- mathematics
Some employers may also look for a postgraduate qualification in a related subject like machine learning.
You could sign up to do a free UCAS Subject Spotlight to learn more about AI and machine learning.
Entry requirements
You'll usually need:
- 2 to 3 A levels, or equivalent, for a degree
- a degree in a relevant subject for postgraduate study
More Information
You could apply to do an apprenticeship, for example:
- Machine Learning Engineer Level 6 (non-degree) Apprenticeship
- Artificial Intelligence Data Specialist Level 7 (non-degree) Apprenticeship
- Digital and Technology Solutions Specialist Level 7 Degree Apprenticeship
These apprenticeships are equivalent to degree and postgraduate level study and take around 2 years to complete.
Entry requirements
You'll usually need:
- 4 or 5 GCSEs at grades 9 to 4 (A* to C) and A levels, or equivalent, for a degree apprenticeship
More Information
Career tips
It will be helpful if you have knowledge and experience of computer programming languages, such as Python, SQL or JavaScript.
You might be able to apply to do a Skills Bootcamp in AI or machine learning.
Skills Bootcamps are free, flexible courses that last up to 16 weeks. You should check specific entry requirements with the course provider.
Professional and industry bodies
You could join The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) for training opportunities and to make industry contacts.
Further information
You can keep up to date with new technological advances and industry information from:
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External links
This page contains public sector information licensed under the Open Government Licence v3.0.