What are you looking for

£35,000 Starter

Average salary (a year)

£75,000 Experienced

Average salary (a year)

37 to 40 a week

Typical hours (a week)

How to become

Explore the different ways to get into this job

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 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

Apprenticeship

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

What it takes

Find out what skills you will use in this role

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

What you will do

Discover the day to day takes you'll do in this role

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 profession

Look at progression in this role and similar opportunities

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.

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