AI Jobs in Healthcare & Life Sciences UK
Salary, Roles & Top Employers
Healthcare is one of the most consequential sectors for AI deployment in the UK. From radiology AI at NHS trusts to drug discovery models at AstraZeneca and GSK, the sector offers technically challenging work with real-world impact — and long-term structural demand that many other sectors lack.
What AI Looks Like in UK Healthcare & Life Sciences
AI in UK healthcare operates across two largely separate ecosystems: the NHS and the private life sciences industry. They hire for similar technical roles but with different cultures, timelines, and pay structures.
Within the NHS, the AI Lab (part of NHS England) is overseeing a wave of AI tool deployments across NHS trusts — starting with medical imaging. Radiology AI systems for chest X-ray triage, mammography analysis, and CT scan review are being deployed at scale across NHS trusts, often through commercial partnerships with companies like Kheiron Medical (a DeepMind spin-out) and Behold.ai. These companies, alongside NHS trusts themselves, are hiring computer vision engineers, clinical AI safety specialists, and ML ops engineers to manage these systems.
In life sciences, AstraZeneca's AI and data science function (based primarily at its Cambridge R&D centre) is one of the most technically ambitious in European pharma. They are applying ML to target identification, protein structure prediction, clinical trial design, and drug repurposing. GSK's AI hub in London and Stevenage focuses on similar challenges. Roche UK and Eli Lilly UK also maintain AI teams, with a mix of in-house work and partnerships with AI drug discovery companies like Exscientia (Oxford) and Recursion (London office).
Note on job market data: Because NHS roles are frequently posted on NHS Jobs rather than commercial boards, Adzuna significantly undercounts healthcare AI hiring. If this sector interests you, check NHS Jobs directly alongside general job boards.
Top UK Healthcare & Life Sciences Employers
AstraZeneca
Pharmaceutical
One of Europe's most advanced AI drug discovery programmes — Cambridge R&D centre
GSK
Pharmaceutical
AI/ML centre in London and Stevenage; focus on target identification and clinical AI
NHS AI Lab
NHS / Government
Oversees AI diagnostic tool deployment across NHS trusts; policy and delivery roles
Roche UK
Pharmaceutical/diagnostics
Medical imaging AI, precision medicine, and diagnostic ML
Kheiron Medical
Medical AI startup
DeepMind spin-out building radiology AI; computer vision specialists
Exscientia
AI drug discovery
Oxford-founded, AI-driven small molecule drug design
Benevolent AI
AI drug discovery
London-based AI biotech applying ML to target discovery and patient stratification
Moorfields Eye Hospital / UCLH
NHS trust
Research-active trusts with embedded AI research teams and clinical AI deployments
Key AI Roles in UK Healthcare & Life Sciences
Computer Vision Engineer
Medical imaging AI — radiology triage, pathology analysis, surgical guidance. Strong demand at NHS-partnered AI companies and medical device firms.
NLP Engineer
Clinical notes processing, EHR structuring, and medical literature analysis. Growing rapidly as NHS trusts digitise clinical documentation.
ML Engineer (Drug Discovery)
Applies ML to molecular biology problems — target identification, drug repurposing, protein structure prediction. Bioinformatics background highly valued.
Data Scientist (Clinical)
Patient outcome modelling, trial design, real-world evidence analysis. Works closely with clinicians and biostatisticians.
AI Safety / Clinical AI Validation
Validating AI diagnostic tools for clinical safety — CE/FDA marking, clinical evaluation reports, and ongoing performance monitoring.
AI Salary Ranges in UK Healthcare & Life Sciences (2026)
| Role | London / Cambridge | Rest of UK |
|---|---|---|
| Computer Vision Engineer (mid) | £62,000 – £92,000 | £52,000 – £78,000 |
| NLP Engineer (mid) | £60,000 – £88,000 | £50,000 – £75,000 |
| ML Engineer / Drug Discovery (mid) | £65,000 – £100,000 | £55,000 – £85,000 |
| Data Scientist (Clinical) | £58,000 – £85,000 | £48,000 – £72,000 |
| Senior ML / AI Engineer | £95,000 – £145,000+ | £80,000 – £120,000+ |
NHS roles are typically 10–20% below these ranges but include defined-benefit NHS pension and job security. Pharma and medical AI startups are more competitive; equity may be available at AI drug discovery companies.
In-Demand Skills
Python / R
Python is standard for ML engineering; R remains common in academic clinical research and statistics.
Computer Vision (PyTorch, OpenCV)
Medical imaging applications require strong CV skills — YOLO, segmentation models, and DICOM processing.
DICOM & HL7 / FHIR standards
Medical imaging and EHR data standards. Essential for roles working with NHS or hospital data.
Bioinformatics (RDKit, Biopython)
For drug discovery ML roles — molecular representations, protein structure, and genomic data processing.
Clinical NLP
Unstructured clinical text processing — discharge summaries, GP notes, and medical literature. Specialist NLP domain.
Regulatory frameworks (MDR/UKCA)
AI as a Medical Device (AIaMD) regulations — important for anyone building deployed clinical AI tools.
AWS / Azure
Cloud platforms for healthcare data require understanding of compliance requirements (NHS DSPT, HIPAA concepts).
MLflow / MLOps
Validated ML pipelines for clinical environments must include version control, audit trails, and reproducibility.
Career Entry Routes
From academia / PhD
AI research roles at pharma companies (AstraZeneca, GSK) and academic medical centres strongly prefer PhD candidates, particularly in bioinformatics, computational biology, or medical imaging. Postdoctoral positions are a standard entry point.
From software engineering or data science
For NHS AI Lab, medical AI startups, and EdTech-adjacent clinical roles, commercial ML engineering experience combined with willingness to learn healthcare domain knowledge is a viable path. Domain training can be acquired on the job.
From clinical or scientific backgrounds
Clinicians, pharmacists, and biomedical scientists who upskill in Python and ML are increasingly valued — particularly for clinical NLP, AI safety validation, and medical imaging annotation roles.
NHS Digital and NHS England graduate schemes
NHS Digital's Digital, Data and Technology (DDaT) Fast Stream and NHS Technology graduate programmes are good entry points into public healthcare AI. Competitive but provide a structured pathway into NHS data science and AI roles.
Frequently Asked Questions
Sector Quick Facts
London, Cambridge, Oxford, Stevenage
Mainly on NHS Jobs — not counted by Adzuna
Medical imaging AI and clinical NLP
Strong long-term structural demand