ML / AI Jobs in United Kingdom
There are 648 open ML / AI jobs in United Kingdom on freehire right now. 182 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| GBP | year | £100,375 | £129,750 | £155,000 | 26 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 92%
- ai 83%
- python 67%
- pytorch 44%
- cloud 43%
- llm 36%
- aws 31%
- tensorflow 28%
How the work is done
- Hybrid 206 · 32%
- Remote 114 · 18%
- Onsite 22 · 3%
Visa sponsorship offered in 66% of the 82 postings that state a position on it.
Seniority
- Senior 190
- Lead 68
- Principal 34
- Staff 32
- Intern 23
- C-level 16
Who is hiring
- 1000+ employees 45
- 501-1000 employees 41
- 51-200 employees 10
- 201-500 employees 4
- 11-50 employees 2
ML Engineer
Designs and deploys ML models to predict and prevent GPU cluster failures, optimizing real-time AI infrastructure reliability and utilization.
Senior Specialist Field Engineer - HPC/AI/ML
Senior Specialist Field Engineer at CoreWeave supports AI/ML customers running HPC workloads on CoreWeave’s cloud platform, troubleshooting, optimizing, and collaborating with engineering teams to enhance Kubernetes-based AI solutions.
Anthropic Fellows Program, AI Safety & Security
4-month research fellowship building AI safety/security projects with public outputs, mentored by Anthropic researchers using open-source tools and compute budgets.
Machine Learning Engineer II - Growth & Personalisation
Build and improve machine learning models for Deliveroo's New Verticals (grocery/retail): ranking items on vertical landing pages, blending new-vertical content into the restaurant-first homepage, personalising recommendations, and targeting notifications. Core stack is Python with end-to-end model productionisation; hybrid role based in London (3 days in office).
Machine Learning Engineering Manager - Personalisation
Lead a team of ~12 ML engineers owning ranking, recommendation and personalisation systems across Deliveroo's ordering experience (store page, cart, upsell, checkout, bundling), hybrid 3 days/week in London. Requires production ML at scale plus people management across a team spread over London, Finland and Berlin.
Senior Machine Learning Engineer - Growth & Personalisation
Builds ranking, personalisation, and recommendation models in Python for Deliveroo's New Verticals team — deciding what grocery/retail content users see on landing pages and the homepage, and targeting notifications to turn restaurant-only users into grocery and retail customers. Hybrid role, 3 days a week in the London office.
Senior Machine Learning Engineer - Recommendations
Senior Machine Learning Engineer in Deliveroo's London office (hybrid, 3 days on-site) building recommendation, ranking and retrieval models that help customers discover restaurants, dishes and content on the food-delivery marketplace. Core stack includes Python, modern ML frameworks and large-scale data processing, with end-to-end ownership from framing to experiments and production monitoring.
Process Intelligence Scientist - Python, Machine Learning, Statistics
Machine Learning | Python | Data Science | Industrial Analytics | Predictive Modelling | Process Optimisation Imagine using advanced analytics to predict problems before they happen, improve manufacturing performance…
Principal Machine Learning Engineer
Hands-on principal-level ML engineer at Rowden, a Bristol-based defence tech company (~200 staff), acting as technical authority on projects spanning large-model training, LLM/agentic systems, data pipelines, and deployment onto edge/embedded hardware for MOD and government customers. Requires DV clearance eligibility and 3 days/week on-site in Bristol.
Lead Machine Learning Engineer
Craft Lead for the ML team at Rowden, a UK defence-tech engineering firm: ~70% hands-on ML engineering (deep learning, LLM/agentic systems, edge/embedded deployment, MOD R&D) and ~30% leading, developing and hiring engineers. Hybrid role based at Bristol HQ with DV clearance eligibility required.
Snr Machine Learning Engineer - Client facing - 12 months FTC
Senior Machine Learning Engineer in Xantura's client-facing Data & Analytics Consulting team, building and productionising predictive models (gradient boosting, NLP, LLM/RAG) and the SQL/data pipelines behind them, deploying into client environments and configuring the OneView platform. Hybrid role in London, 12-month FTC.
Senior / Principal Chemist, AI Safety
A chemist on LILA Sciences' AI safety team maps chemical dual-use misuse risks from increasingly capable scientific AI — building safety strategy, evaluations, and mitigations while preserving beneficial chemistry. Requires deep chemistry expertise (PhD or equivalent) and dual-use risk assessment experience; base salary $148k–$208k USD.
Manager / Senior Manager, AI Safety Data and Evaluation Program
Leads AI safety data and evaluation programs at LILA Sciences: translating safety research briefs into executed expert-data, red-teaming, and evaluation campaigns, coordinating internal and external scientific contributors, and enforcing data-quality standards to produce the evidence base for safety decisions.
Staff / Principal Research Engineer, AI Safety Mitigations
Research engineer on LILA's AI safety team, building and testing safeguards that mitigate risks from increasingly capable closed-loop scientific AI — spanning model training, post-training, classifiers, monitoring, access controls, and runtime interventions. Works hands-on with frontier models, agents, and lab-connected workflows alongside science, evaluation, and platform teams.
Staff Software Engineer, AI Safety
Builds the shared software behind LILA Sciences' AI Safety team: reusable services, evaluations and red-teaming tooling, data pipelines, and researcher-facing apps to reduce risks from scientific superintelligence. Core stack is Python backend engineering with APIs, databases, and execution pipelines.
Senior / Principal Computational Biologist, AI Safety
Conducts original computational biology research on LILA's AI safety team, studying how LLMs, specialized biological models, agents and automated labs change what is biologically feasible, and translating risk judgments into evaluations, safeguards and dual-use policy boundaries. Requires deep computational biology expertise and strong scientific programming skills.
Senior / Principal Materials Scientist, AI Safety
LILA Sciences is hiring a Senior/Principal Materials Scientist for its AI safety team to map dual-use and misuse risks from increasingly capable scientific AI systems. Day to day: assessing materials-science threat landscapes, translating risk judgments into safeguards and policy boundaries, and collaborating across science, engineering, and policy.
ML Engineer
ML Engineer £600 to £650 per day London Inside IR35 Hybrid, 2 days per week in the office This is an opportunity for an ML Engineer to work on high-scale, real-time machine learning systems, with a strong focus on…
Senior Machine Learning Engineer - SC (DV Clearable) - Perm
Senior Machine Learning Engineer - (DV Clearable) - Multiple Headcount Location(s) : Cheltenham or London Type : 4 days on-site, 1 day at home Salary : £75,000 - £95,000 Clearance : SC (Must be eligible and willing to…