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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.

Annual Salary

£35,000 to £75,000

Average UK salary in 2024 was £37,430
(source Office for National Statistics)

Working hours

37 to 40 a week

You could work: 9am to 5pm;

4.3%
Future employment

There will be 4.3% more Artificial intelligence (AI) engineer jobs in 2029.

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.

You can get into this job through:

  • a university course
  • an apprenticeship
University

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 Spotlightto 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
For more information
  • equivalent entry requirements|https://www.gov.uk/what-different-qualification-levels-mean/list-of-qualification-levels
  • student finance for fees and living costs|https://www.gov.uk/student-finance
  • university courses and entry requirements|https://www.ucas.com/
Apprenticeship

You could apply to do an apprenticeship, for example:

  • Artificial Intelligence Data Specialist Level 7 Higher Apprenticeship
  • Digital and Technology Solutions Specialist (integrated degree) Level 7 Apprenticeship

These apprenticeships are equivalent to postgraduate level study and take between a year and a half and 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 higher or degree apprenticeship
For more information
  • equivalent entry requirements|https://www.gov.uk/what-different-qualification-levels-mean/list-of-qualification-levels
  • higher and degree apprenticeships|https://www.gov.uk/government/publications/higher-and-degree-apprenticeships
  • guide to apprenticeships|https://www.gov.uk/apprenticeships-guide

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:The Institution of Engineering and Technology (IET); The Alan Turing Institute

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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.

Skills required and how your skills match up

What skills are required?

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
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