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
Principal Software Engineer - AI/ML Data Platforms - Executive Director
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies. As a Principal Software Engineer at JPMorganChase within the…
Principal Software Engineer - AI/ML Data Platforms - Executive Director
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies. As a Principal Software Engineer at JPMorganChase within the…
Software Engineer III - AI/ML Data Platforms - AI Engineer - Python
Software Engineer III at JPMorgan Chase on the AI/ML Data Platforms team, building production-grade AI/ML platform applications and Generative AI/agent apps for internal AI Research and ML Centre of Excellence clients. Day-to-day is Python full-stack development with Terraform IaC and CI/CD delivery to cloud, plus mentoring junior engineers and researchers.
Lead Software Engineer - AI/ML Data Platforms - AI Engineer - Python
Lead Software Engineer at JPMorgan Chase on the AI/ML Data Platforms team, serving AI Research and the ML Centre of Excellence. The role turns AI experiments into production-grade apps, builds Generative AI/agent applications, and mentors engineers, using Python, Terraform/IaC, and CI/CD.
Lead Software Engineer - Applied AI/ML Python Engineer
Lead Software Engineer on JPMorgan Chase's Applied AI/ML team within Corporate & Investment Banking, based in London. Day to day: building Python applications and APIs, architecting scalable AWS/Kubernetes (EKS/ECS) cloud infrastructure, applying MLOps practices, and mentoring junior engineers.
Remote Senior Frontend Developer - React, AI/ML & EdTech
Senior Frontend Developer building a React-based editor that spans web, desktop (Electron), and cloud services for a fully remote UK role. Core stack: React with hooks, Redux Toolkit, ES6, Node.js, and MUI, with Unity/WebGL and AI/ML interests as a plus.
Machine Learning Engineer (Safety)
Machine Learning Engineer on Faculty's National Security & AI Safety team in London, building and deploying production-grade ML and LLM applications and AI-safety evaluations for clients including Frontier Labs. Core stack: Python, cloud platforms (AWS/Azure/GCP), Docker/Kubernetes, and frameworks like TensorFlow or PyTorch.
Staff / Principal Machine Learning Engineer, Inference - UK
Staff/Principal ML Engineer optimizing realtime LLM inference at Inworld: taking speech and LLM models from research into high-volume production serving, squeezing latency and throughput out of NVIDIA GPUs with frameworks like vLLM/TRT-LLM, C++/CUDA/Rust, and Kubernetes/Ray at trillion-token monthly scale. UK-based, remote; no visa sponsorship for this role.
Senior Machine Learning Engineer
Build and scale ML-driven dispute optimization systems, including training, deploying, and monitoring models, plus real-time data pipelines and feature stores for Checkout.com’s fintech platform.
Senior Data and ML Engineer
Senior Data and ML Engineer at Croud, a global media and creative agency in London (hybrid, 3 days/week in office), building client-facing data engineering and ML solutions. Day to day involves data pipelines, warehousing, and MLOps/GenAI work on GCP/BigQuery using Python, SQL, dbt, Docker, Terraform, and CI/CD.
Computer Vision Engineer
SPAICE builds 'Spatial AI' autonomy software for satellites and drones. This role implements multimodal perception algorithms fusing cameras, LiDAR, radar, inertial and event sensors, and turns CV research into flight-ready, performance-critical C++/Python code for space and defense missions on embedded/edge-AI hardware.
Senior Machine Learning Engineer, ADAS
Senior ML engineer on Wayve's ADAS team in London, training, debugging and evaluating computer vision and 3D perception models for driver assistance — split between latency-constrained on-car perception and large-scale offline work — plus building auto-labelling data pipelines to drive a 'data flywheel'.
Machine Learning Engineering Manager
Lead a team of 7 ML and data engineers at Trainline (London, hybrid), owning delivery of the ML/AI systems behind search, supply and commerce — from data pipelines and recommendations to production LLM/agent systems. Stack is mostly Python on AWS with LangGraph, Amazon Bedrock, Airflow, MLflow and Braintrust.
Senior Machine Learning Researcher
Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats every day. Darktrace was built on a genuinely differentiated idea: that Adaptive AI could detect and respond…
Lead Machine Learning & AI Engineer
Exciting new Lead Machine Learning & AI Engineer position for a fast growing personal lines Insurance company. This role will join an existing, high performing team of AI & Machine Learning experts and be responsible…
Principal Machine Learning Engineer
Faculty, an applied-AI consultancy, is hiring a Principal Machine Learning Engineer in London to act as the organisation-wide technical authority on ML engineering: owning architecture standards, leading flagship client ML programmes, mentoring senior engineers, and advising executive clients. Core tech is Python, multi-cloud platforms, containerisation/orchestration, and MLOps.