The idea

Move into a specialist AI role, such as AI engineer, if you have technical skills.

Who the evidence applies to: People with existing software, data or other technical skills who are willing to retrain into AI engineering or related specialist roles.

PwC's June 2026 barometers and LinkedIn's 2026 data both reported fast growth in specialist AI hiring, while overall UK vacancies fell.

How we checked

This is an evidence check: we looked for large studies, official statistics and published datasets, opened every source, and had a second researcher check each figure against them. 6 sources, listed below.

Costs

Start-up cost
Varies
Effort
high

What the evidence shows

Demand for specialist AI workers is growing while the wider UK jobs market is weak. PwC's 2026 UK barometer found job postings requiring specialist AI skills rose from 112,000 in 2024 to 180,000 in 2025, while overall vacancies fell 6.6%, with an average UK AI wage premium of 34.2%. The UK government's AI sector study counted 86,139 AI-related jobs in 2024, up 33% on 2023. LinkedIn data reported by the World Economic Forum says AI has created 1.3 million new roles such as AI engineers, forward-deployed engineers and data annotators.

What to expect: For people who already have programming, data or similar technical skills, the evidence shows growing demand and higher advertised pay, but these are specialist roles and the job-ad figures do not tell you how hard it is to switch in. UK AI companies are heavily concentrated in London, the South East and the East of England, and, according to LinkedIn's 2026 Jobs on the Rise list as reported by Dice, US AI engineer jobs are most prevalent in a few cities.

First steps

  1. Look at current adverts for AI engineer and similar roles and list the skills they ask for, such as Python, PyTorch, retrieval-augmented generation and MLOps
  2. Compare that list with your existing technical skills and pick the gaps to close first
  3. Build a small, working project using those skills that you can show to employers
  4. Look at roles in sectors PwC found hiring most for AI, such as technology, media and telecoms and financial services

Limitations

Studies report averages: your own result depends on your field, skills and where you live. Figures come from the sources below and may be updated as new evidence appears.

VerdictWorks with limits

Works for some, not most.

Sources

  1. PwC UK 2026 AI Jobs Barometer: specialist AI job postings rose 61% from 112,000 to 180,000 in 2025 while overall vacancies fell 6.6%; specialist AI jobs are 2.2% of the market; average AI wage premium 34.2% pwc.co.uk
  2. PwC 2026 Global AI Jobs Barometer: jobs requiring specific AI skills grew 69%, roughly eight times faster than the overall jobs market at 9% pwc.com
  3. UK government Artificial Intelligence sector study 2024: 86,139 AI-related jobs in 2024, up 33% from 64,539 in 2023; about 75% of AI companies in London, the South East and East of England gov.uk
  4. World Economic Forum, citing LinkedIn data (January 2026): AI has created 1.3 million new roles such as AI engineers, forward-deployed engineers and data annotators weforum.org
  5. Dice on LinkedIn's 2026 Jobs on the Rise (US): AI engineer is the fastest-growing role; common AI engineer skills include LangChain, RAG and PyTorch, with Python and MLOps described as in-demand or baseline; roles most prevalent in San Francisco, New York City and Dallas dice.com
  6. Oxford Internet Institute study of over 10 million UK vacancies: science, engineering and technology roles requiring AI expertise offer salaries averaging three times those stipulating only a degree ox.ac.uk