ML / AI Jobs in United Kingdom
There are 744 open ML / AI jobs in United Kingdom on freehire right now. 137 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 | £90,000 | £125,000 | £150,000 | 53 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 85%
- ai 67%
- python 54%
- cloud 32%
- pytorch 32%
- llm 24%
- aws 20%
- tensorflow 20%
How the work is done
- Hybrid 175 · 24%
- Remote 91 · 12%
- Onsite 25 · 3%
Visa sponsorship offered in 68% of the 106 postings that state a position on it.
Seniority
- Senior 209
- Lead 60
- Staff 59
- Principal 38
- Intern 10
- Junior 8
Who is hiring
- 1000+ employees 114
- 501-1000 employees 73
- 51-200 employees 27
- 11-50 employees 11
- 201-500 employees 6
- 1-10 employees 1
Machine Learning Engineer - Routing & ETA
ML Engineer building and productionizing ETA and delivery-time prediction models in Python that power consumer-facing ETAs and rider-dispatcher decisions across Deliveroo's three-sided food-delivery marketplace.
Senior Machine Learning Engineer Python AWS
This Senior Machine Learning Engineer role involves implementing ML algorithms into production for a European car insurance tech company. The position focuses on MLOps using Python and AWS to support a platform that generates insurance quotes in under 60 seconds.
Quantitative Developer - Machine Learning Strategies - Trading Pod
Develops and optimizes ML models for systematic macro trading, translating research into live trading signals using high-frequency market data. Core focus: ML, quantitative research, and trading workflows.
Research Engineer, Machine Learning (AI for Science)
Builds scalable ML infrastructure for AI-driven material discovery, integrating simulations, lab data, and scientific literature into a closed-loop autonomous system.
Machine Learning Engineer (Mid to Principal)
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
Machine Learning Engineer
Develops and scales predictive modeling platforms (embedding-based sequence encoders, survival models, gradient-boosted decision trees) to identify vulnerabilities in housing, health, and social domains using ML pipelines, containerized systems, and responsible AI practices.
Founding ML Engineer (Spectrum)
Build and own the ML/LLM stack for Spectrum, JetBrains’ AI-powered semantic layer that extracts, organizes, and reasons over code, docs, and issues to keep software systems aligned.
AI/ML Specialist Solutions Architect
Designs and advises on scalable AI cloud solutions for enterprise customers, focusing on distributed training and inference pipelines using PyTorch, JAX and Kubernetes.
Senior Applied ML Engineer (Agentic Search)
Senior Applied ML Engineer builds and deploys retrieval, ranking, and indexing models for an agent-native search platform used by AI systems to access real-time information at scale.
Senior ML Engineer (AI Research)
Senior ML Engineer at Nebius to conduct applied AI research on reinforcement learning, agentic systems, and model training, using JAX and Python in a cloud infrastructure company.
Senior ML Engineer (Token Factory)
Senior ML Engineer at Nebius building and optimizing large-scale AI inference and fine-tuning platforms for foundation models using JAX and modern hardware.
Senior ML Engineer (Token Factory)
Senior ML Engineer at Nebius builds and optimizes high-performance inference and fine-tuning platforms for large language models across tens of thousands of GPUs, focusing on throughput, latency, and cost-per-token.
Senior ML Engineer (AI Research, Physical AI)
Build and train vision-language-action models and reinforcement-learning policies for real-world robots, using JAX and distributed training to prototype sim-to-real transfer and dexterous manipulation.
Senior ML Engineer (AI Research/ Portability)
Build and evaluate AI agent systems that remain portable across models, providers, and deployment environments, focusing on routing, memory, interoperability, and evaluation.