Published: 21 September 2026
Artificial intelligence is becoming a bigger part of Britain’s labour market, but the strongest growth is not limited to people who build AI systems.
LinkedIn’s 2026 UK Jobs on the Rise research places AI Engineer, Head of Artificial Intelligence and Machine Learning Researcher among the fastest-growing roles in Britain. Meanwhile, PwC’s 2026 AI Jobs Barometer found that UK job postings requiring specialist AI skills rose from 112,000 in 2024 to around 180,000 in 2025.
The evidence points to two related developments.
First, specialist AI careers are expanding.
Second, businesses increasingly need people who can apply AI within existing professions, including finance, software, consulting, data, public services and other sectors.
That distinction matters for anyone considering an AI career in the UK in 2026.
Key Facts
| UK AI jobs indicator | Latest evidence |
|---|---|
| UK postings requiring specialist AI skills | Around 180,000 in 2025 |
| Annual increase | 61% |
| Share of UK postings requiring AI skills | 2.2% |
| AI-user role growth | 65.8% |
| AI-developer role growth | 21.6% |
| Average AI-skilled wage premium | 34.2% |
| Organisations reporting an AI skills gap | 97% of surveyed organisations |
| Organisations struggling to fill AI roles | 35% |
| AI apprenticeships as share of AI hires | 19% in 2025 |
Sources: PwC 2026 AI Jobs Barometer and UK Government AI Labour Market Survey.
Table of Contents
- Which AI jobs are growing fastest in the UK?
- AI Engineer
- Head of Artificial Intelligence
- Machine Learning Researcher
- Data Scientist
- Machine Learning Engineer
- AI and software engineering
- AI-user roles are becoming increasingly important
- Which UK cities have the strongest AI job clusters?
- Which AI skills do UK employers want?
- Do you need a degree for an AI job?
- Are AI jobs only for technical workers?
- What does AI mean for non-AI careers?
- What does the UK Government say about AI skills?
- What should UK jobseekers learn?
- What happens next?
Which AI jobs are growing fastest in the UK?
There is no single official UK ranking covering every AI occupation in 2026.
However, LinkedIn’s 2026 Jobs on the Rise analysis provides one of the clearest current signals. Its methodology looks at roles showing positive growth over the previous three years while also requiring sufficient job-posting activity.
Within that dataset, AI Engineer, Head of Artificial Intelligence and Machine Learning Researcher stand out as AI-related careers appearing among Britain’s fastest-growing jobs.
Other research points to strong demand for Data Scientists, Machine Learning Engineers, Python Developers, Computer Vision Engineers and AI Engineers.
The most useful conclusion is therefore not that one occupation is guaranteed to outperform every other career.
Instead, the evidence shows that demand is expanding across several layers of the AI workforce.
The main AI career groups
| Career area | What the role involves | UK demand signal |
|---|---|---|
| AI Engineer | Builds and deploys AI systems and applications | Very strong |
| Head of AI | Leads AI strategy and implementation | Strong |
| Machine Learning Researcher | Develops and tests models and algorithms | Strong |
| Machine Learning Engineer | Builds production machine-learning systems | Strong |
| Data Scientist | Uses data, statistics and modelling to solve problems | Strong |
| AI/software engineer | Integrates AI into software products | Strong |
| AI product roles | Connects AI technology with products and users | Growing |
| AI-user roles | Applies AI within an existing profession | Very strong |
| AI governance/risk roles | Addresses responsible use, controls and risk | Emerging |
The table combines current labour-market evidence from LinkedIn, PwC and UK Government research. It is not a universal ranking of occupations.
AI Engineer
AI Engineer is one of the clearest growth signals in Britain’s 2026 labour market.
LinkedIn’s UK Jobs on the Rise research places AI Engineer at the top of its 25 fastest-growing UK roles. The platform says AI Engineers design, develop and implement AI models and algorithms for tasks involving prediction, problem-solving and other complex activities.
The role is increasingly associated with technologies such as:
- Large Language Models
- Retrieval-Augmented Generation
- Natural Language Processing
- machine learning
- model deployment
- AI application development
LinkedIn identifies London, Manchester and Cambridge as the main locations for AI Engineer jobs in its dataset.
This is also consistent with UK Government research, which identifies AI Engineer, Machine Learning Engineer, Python Developer and related software roles among important AI occupations.
Head of Artificial Intelligence
AI leadership is another notable growth area.
LinkedIn identifies Head of Artificial Intelligence among the UK’s fastest-growing roles.
The position is different from an engineering role.
A Head of AI may be responsible for:
- AI strategy
- selecting AI projects
- managing AI teams
- AI governance
- implementation
- business transformation
- measuring the value of AI projects
The emergence of this role is significant because it suggests AI is moving beyond an isolated technical function.
As more organisations adopt AI, businesses need people who can connect technology with commercial objectives.
LinkedIn identifies London, Manchester and Glasgow among the main locations for these roles.
Machine Learning Researcher
Machine Learning Researcher is another AI occupation appearing in LinkedIn’s UK fastest-growing jobs list.
The role focuses more heavily on research and model development.
Typical work can involve:
- developing machine-learning algorithms
- testing models
- deep learning
- model evaluation
- computer vision
- natural language processing
- experimental research
LinkedIn identifies London, Cambridge and Oxford as key locations for Machine Learning Researcher roles in its dataset.
These roles can have higher academic requirements than many other technology careers.
UK Government vacancy research found that 99% of AI Expert vacancies in its 2021–2023 analysis requested at least a bachelor’s degree, while 37% requested a PhD and 29% requested a master’s degree.
Data Scientist
Data Science remains closely connected to the UK’s AI labour market.
UK Government research identified Data Scientist as one of the most common AI Expert job titles.
The role typically combines:
- statistics
- data analysis
- programming
- machine learning
- data visualisation
- business problem-solving
The importance of data science is also reflected in the 2025 AI Labour Market Survey.
The proportion of surveyed organisations employing data-science professionals increased from 48% to 66% in the survey’s comparison.
For people considering AI careers, data science can therefore provide a route into AI without requiring every role to be focused exclusively on model development.
Machine Learning Engineer
Machine Learning Engineers sit between software engineering, data science and AI development.
They may be responsible for taking models from experimentation into production.
That can involve:
- Python
- machine-learning frameworks
- cloud infrastructure
- model deployment
- data pipelines
- testing
- monitoring
- MLOps
The UK Government’s AI vacancy analysis identifies Machine Learning Engineer as a common AI Expert job title.
LinkedIn also notes that AI Engineer can overlap with Machine Learning Engineer as a job title.
AI and software engineering
The UK AI labour market is not separating neatly into “AI jobs” and “normal technology jobs”.
Software engineering remains one of the main routes into AI implementation.
Government vacancy research found that almost nine in ten AI Expert roles in its analysis were positioned around Data Scientist or Software Engineering occupations.
This creates opportunities for existing software developers to move towards:
- AI application development
- LLM integration
- RAG systems
- machine-learning infrastructure
- AI agents
- model evaluation
- AI-enabled products
For many workers, learning how to integrate AI into existing software may therefore be more practical than attempting to become an AI researcher.
AI-user roles are becoming increasingly important
One of the most important findings from PwC’s 2026 UK analysis is that AI employment growth is not being driven only by people developing AI.
PwC found that AI-user roles increased by 65.8% in 2025, compared with 21.6% growth for AI-developer roles.
AI-user roles are positions where professionals apply AI within another area of expertise.
That could include:
- finance professionals using AI for analysis
- lawyers working with AI-assisted research
- marketers using AI for customer analysis
- engineers using AI-supported design
- consultants using AI for research and modelling
- healthcare professionals working with AI-enabled systems
- business analysts using AI to improve workflows
- cybersecurity professionals using AI for threat detection
This means the UK’s AI labour market is broader than the conventional list of AI Engineer, Data Scientist and Machine Learning Engineer.
PwC says technology, media and telecommunications recorded the highest AI intensity, followed by financial services and the public sector.
Which UK cities have the strongest AI job clusters?
AI employment is concentrated in several major technology and research centres.
LinkedIn identifies:
| Role | Key UK locations identified by LinkedIn |
|---|---|
| AI Engineer | London, Manchester, Cambridge |
| Head of AI | London, Manchester, Glasgow |
| Machine Learning Researcher | London, Cambridge, Oxford |
Earlier UK Government vacancy analysis also identified clusters in:
- Cambridge
- Bristol
- Oxford
- Manchester
- Reading
alongside broader activity in the East of England, North West, South West, Scotland and Yorkshire and the Humber.
London remains particularly important, but the evidence does not suggest that AI employment is confined to the capital.
Which AI skills do UK employers want?
AI careers increasingly require a combination of technical and human capabilities.
UK Government vacancy research identified the following leading technical skills among AI Expert roles:
| Skill | Share of AI Expert vacancies in the research |
|---|---|
| Python | 68% |
| Data Science | 64% |
| Machine Learning | 63% |
| SQL | 29% |
| AWS | 18% |
| Azure | 11% |
These figures come from the government’s analysis of 2021–2023 Lightcast vacancy data, rather than a live September 2026 vacancy count.
That distinction is important because AI skills are changing quickly.
LinkedIn’s 2026 UK Skills on the Rise research highlights growing demand around:
- prompt engineering
- chatbot development
- large language models
- machine learning
- MLOps
- regression analysis
alongside broader skills such as collaboration, leadership and communication.
Do you need a degree for an AI job?
It depends on the role.
Highly technical research and engineering positions can have substantial educational requirements.
The UK Government’s AI vacancy analysis found that 99% of AI Expert vacancies in its 2021–2023 dataset requested at least a bachelor’s degree.
However, alternative routes are becoming more important.
The 2025 UK AI Labour Market Survey found that apprenticeships accounted for 19% of AI hires in 2025, compared with 3% in 2020.
The same research found that 88% of surveyed organisations used on-the-job training rather than relying exclusively on structured education and training programmes.
This suggests that practical experience is becoming an important part of AI career development.
Are AI jobs only for technical workers?
No.
The labour-market evidence increasingly points towards two broad categories.
AI builders
These workers develop the technology itself.
Examples include:
- AI Engineers
- Machine Learning Engineers
- Data Scientists
- AI Researchers
- Computer Vision Engineers
- MLOps Engineers
- AI Software Engineers
AI users
These workers apply AI within another profession.
Examples include:
- financial analysts
- business consultants
- marketing professionals
- lawyers
- project managers
- engineers
- healthcare professionals
- educators
- cybersecurity specialists
PwC’s UK analysis suggests that the second group is expanding particularly quickly.
That creates a much broader career opportunity than simply learning to code AI systems.
What does AI mean for non-AI careers?
AI is also changing the skills expected inside occupations that do not have “AI” in the job title.
PwC found that occupations with greater AI exposure experienced faster changes in their required skills.
The research found that the most AI-exposed occupations experienced roughly twice the skills transformation of the least-exposed occupations.
For British workers, this means AI literacy may increasingly become a general workplace capability.
That can include knowing how to:
- use AI tools appropriately
- write effective instructions
- check AI-generated information
- identify errors
- protect confidential information
- understand limitations
- evaluate outputs
- integrate AI into workflows
- recognise when human judgement is required
Skills England has also published an AI foundation-skills benchmark covering technical, non-technical and responsible/ethical capabilities for workplace AI use.
What does the UK Government say about AI skills?
The UK Government’s AI strategy has increasingly focused on developing AI capability across the workforce.
Its January 2026 progress report said more than 1 million free AI upskilling courses had been delivered through industry partnerships and that the government had raised its ambition to provide AI skills to 10 million workers by 2030.
The government has also established Skills England and published an AI foundation-skills benchmark designed to help workers and training providers understand basic workplace AI capabilities.
The policy direction therefore extends beyond training a small group of AI specialists.
It also involves increasing AI capability throughout the wider workforce.
What should UK jobseekers learn?
There is no single qualification that guarantees an AI career.
The most useful approach depends on the type of role.
For aspiring AI Engineers
Focus on:
- Python
- machine learning
- LLMs
- APIs
- software engineering
- cloud platforms
- model deployment
- data structures
- evaluation
For aspiring Data Scientists
Focus on:
- statistics
- Python
- SQL
- data analysis
- machine learning
- visualisation
- experimentation
- business problem-solving
For AI product roles
Focus on:
- product management
- AI capabilities
- user research
- data
- experimentation
- business strategy
- communication
- responsible AI
For non-technical professionals
Focus on:
- AI literacy
- workflow automation
- prompting
- data interpretation
- verification
- privacy
- cybersecurity
- domain expertise
The broader lesson from current UK labour-market evidence is that AI capability works best when combined with professional expertise.
Is AI hiring growing despite a weaker overall jobs market?
The answer is yes, according to PwC’s analysis of UK job postings.
Specialist AI job postings rose by 61% in 2025 even as total UK vacancies were under pressure.
PwC found that specialist AI postings increased to around 180,000, while AI-skilled workers commanded an average wage premium of 34.2%.
That does not mean every AI worker will receive a higher salary or that AI jobs are immune from layoffs.
It does show that demand for AI capability has been moving differently from the wider labour market.
What happens next for AI jobs in Britain?
The next stage is likely to involve greater integration between AI technology and existing occupations.
The UK’s AI labour market could increasingly divide into several layers:
AI research
Developing new models, algorithms and techniques.
AI engineering
Turning models into usable systems.
AI implementation
Integrating AI into business processes and software.
AI product management
Turning AI capabilities into useful products.
AI governance
Managing safety, risk, compliance and responsible use.
AI-enabled professional work
Using AI within finance, healthcare, consulting, law, engineering, education and other sectors.
This is consistent with government research showing that AI-related skills are spreading across technical, business and professional occupations.
The bigger picture
The UK AI jobs market is expanding, but the story is more complicated than simply counting AI Engineer vacancies.
LinkedIn’s 2026 UK data shows that AI Engineer, Head of Artificial Intelligence and Machine Learning Researcher are among the fastest-growing roles in its Jobs on the Rise dataset.
PwC’s analysis provides a second signal: specialist AI postings rose 61% to around 180,000 in 2025, while AI-user roles grew substantially faster than AI-developer roles.
For British workers, that means the AI opportunity is not limited to becoming a machine-learning specialist.
A software engineer can move towards AI development.
A data analyst can develop machine-learning skills.
A financial professional can become an AI-enabled analyst.
A business consultant can specialise in AI implementation.
A cybersecurity professional can work with AI-powered security systems.
The most important skill may therefore be the ability to combine AI capability with knowledge of a real-world profession.
For employers, the challenge is different.
The UK Government’s 2025 AI Labour Market Survey found widespread skills gaps and recruitment difficulties, while apprenticeship and workplace-training routes are becoming more important.
The evidence points towards a UK labour market where AI specialists will remain important, but where AI literacy increasingly becomes a normal part of professional work.
Key Takeaways
- AI Engineer is among the fastest-growing UK roles in LinkedIn’s 2026 Jobs on the Rise analysis.
- Head of Artificial Intelligence and Machine Learning Researcher also appear among the fastest-growing UK roles.
- UK specialist AI job postings increased from 112,000 to around 180,000 in 2025, according to PwC.
- AI-related postings represented around 2.2% of UK job postings in 2025.
- AI-user roles grew faster than AI-developer roles in PwC’s UK analysis.
- London, Manchester, Cambridge and Oxford are important AI employment centres.
- Python, data science and machine learning remain important technical skills.
- AI literacy is spreading beyond traditional technology jobs.
- UK Government research identified significant AI skills gaps among employers.
- Apprenticeships accounted for 19% of AI hires in 2025 in the government’s labour-market survey.
- AI careers are increasingly combining technical capability with domain expertise.
- There is no single qualification or job title that guarantees an AI career.
Conclusion
AI jobs in the UK are growing, but the biggest change may be happening beyond the traditional definition of an AI job.
The latest evidence shows strong demand for specialist roles such as AI Engineer and Machine Learning Researcher, while AI-user roles are expanding rapidly across the wider economy.
That means Britain’s AI employment market is developing on two fronts.
Companies need people who can build AI.
They also need people who can use AI effectively inside existing professions.
For jobseekers, that creates multiple routes into the AI economy. Technical workers can specialise in engineering, data or research, while professionals in finance, business, healthcare, engineering, consulting and other fields can build AI capability alongside their existing expertise.
The direction of the UK labour market therefore appears to be less about replacing every occupation with an AI equivalent and more about changing the skills required to perform many occupations.
For workers and employers alike, the central question is increasingly not simply whether AI will affect a career.
It is which AI skills will make that career more valuable in Britain’s changing labour market.
Strongest facts to place near the top of the article
- 180,000 UK job postings required specialist AI skills in 2025.
- Specialist AI postings increased 61%.
- AI-related postings represented 2.2% of UK postings.
- AI-user roles grew 65.8%.
- AI-developer roles grew 21.6%.
- Average AI-skilled wage premium: 34.2%.
- 97% of surveyed organisations reported at least one AI skills gap.
- 35% struggled to fill AI roles.
- AI apprenticeships reached 19% of AI hires in 2025.
FAQ
1. What are the fastest-growing AI jobs in the UK in 2026?
LinkedIn’s 2026 UK Jobs on the Rise research identifies AI Engineer, Head of Artificial Intelligence and Machine Learning Researcher among the fastest-growing UK roles. Other UK labour-market research identifies Data Scientists, Machine Learning Engineers and related software roles as important AI occupations.
2. Is AI hiring growing in the UK?
Yes. PwC found that UK job postings requiring specialist AI skills rose 61% in 2025 to around 180,000.
3. What AI skills do UK employers want?
Python, data science and machine learning are among the leading technical skills identified in UK Government AI vacancy research. Newer demand also includes LLMs, prompt engineering, chatbot development and MLOps.
4. Do I need a degree to work in AI in the UK?
It depends on the role. Highly technical AI positions frequently require degrees, while apprenticeships and workplace training are increasingly important alternative routes.
5. Which UK cities have the most AI jobs?
London is a major AI employment centre, while Cambridge, Manchester and Oxford also feature strongly in current LinkedIn and UK Government labour-market evidence.
6. Are AI jobs only for programmers?
No. AI-user roles are becoming increasingly important across finance, consulting, public services and other professional fields. PwC found AI-user roles grew faster than AI-developer roles in its UK analysis.
7. Is AI replacing jobs in Britain?
The available evidence does not support a simple conclusion that AI is already replacing workers across the UK economy at scale. AI is changing tasks and skills, while demand is also increasing for specialist and AI-enabled roles.
8. What is an AI Engineer?
An AI Engineer designs, develops and implements AI models and applications. LinkedIn identifies AI Engineer as one of the fastest-growing UK roles in its 2026 analysis.
9. Is Machine Learning Engineer a good AI career?
Machine Learning Engineer is an established AI occupation identified in UK Government labour-market research. The role typically combines software engineering, machine learning, data and model deployment skills.
10. What should I learn to get an AI job in the UK?
The best skills depend on the role, but Python, data science, machine learning, SQL, cloud technologies, LLMs and AI application development are useful areas to consider. Communication, problem-solving and professional expertise are also increasingly important.