Machine Learning Jobs in London

The UK's financial and tech hub, home to a thriving ecosystem of startups, scaleups, and established tech giants. A hotbed for machine learning talent and innovation.

Open roles
286
Salary range
£59k – £250k
Hiring companies
52

London is the epicentre of the UK's tech and financial sectors, making it a prime location for machine learning professionals. The city hosts a diverse range of companies, from cutting-edge startups to global tech giants, all of which are actively hiring machine learning experts. Whether you're working on natural language processing, computer vision, or reinforcement learning, London offers a dynamic environment with ample opportunities for growth and collaboration. Many roles are hybrid or fully remote, but the city's vibrant tech scene and networking events provide a rich on-site experience.

Salary on the board

£59k – £250k

Based on advertised midpoints across the 58 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
24% of listings advertise a salary.
By seniority
£k base
Mid
52
253
5 jobs
Senior
65
190
21 jobs
Lead
70
178
6 jobs
Live jobs

286 live roles

See all 286 roles →

Software Engineer, Model Deployment- ChatGPT Engineering

Design and operate software managing large-scale GPU clusters for ChatGPT inference, building automation and observability systems to improve fleet efficiency, reliability, and developer productivity. Work across infrastructure, research, and product teams to optimize compute utilization and build AI-powered operational tooling.

OpenAI London, United Kingdom
Hybrid Permanent

Head of Banking

Lead and shape the strategic direction of AI transformation programmes within the banking sector, working closely with C-suite clients to deliver impactful, responsible AI solutions. Build and grow a specialised banking practice by combining deep industry knowledge with technical excellence, driving both sales and delivery of high-impact projects. Mentor teams, influence industry thinking, and maintain executive confidence across complex, regulated environments.

Faculty London, United Kingdom
Hybrid Permanent

Lead Machine Learning Engineer - Retail

Lead Machine Learning Engineer to define technical direction and deliver complex AI solutions for retail clients. Design scalable ML systems, mentor engineering teams, and drive innovation through reusable tools and cloud-native architectures. Work in high-risk, ambiguous environments to solve real-world business problems with responsible AI.

Faculty London, United Kingdom
On-site Permanent

Software Engineer, ChatGPT Infrastructure

Design, build, and operate reliable, scalable systems supporting AI products like ChatGPT and the OpenAI API. Focus on performance optimization, system resilience, automation, and developer experience across distributed infrastructure. Collaborate with research, product, and engineering teams to improve reliability, scalability, and observability at global scale.

OpenAI London, United Kingdom
On-site Permanent

Member of Technical Staff, Multilingual

This role involves advancing multilingual large language models through research and engineering, focusing on improving performance across diverse languages and NLP tasks. You'll design scalable systems, publish cutting-edge research, and mentor team members in a globally impactful AI initiative. The position emphasizes technical rigor, innovation in language technology, and collaboration within a world-class team.

Cohere London, United Kingdom
Remote Permanent

Machine Learning Engineer- World-Leading Prop Trading Fund

This role involves working on the ML platform of a leading prop trading fund, focusing on enhancing research workflows, building and maintaining training and inference infrastructure, and applying various ML techniques to aid decision-making. The team values a strong mathematical foundation and a passion for the latest advancements in ML.

eFinancialCareers London, United Kingdom
On-site Permanent

Software Engineer - AI Automation London- Global Prime Brokerage & Financing Platform

This role involves designing and delivering AI-driven automation solutions to streamline and enhance complex business processes across various workflows. You will collaborate with engineering teams, product managers, and business architects to build scalable automation services and integrate AI/ML capabilities into real business workflows.

eFinancialCareers London, United Kingdom
On-site Permanent

Staff Software Security Engineer

This role focuses on building and maintaining robust security infrastructure for large-scale AI systems, with a strong emphasis on cloud security, secure CI/CD pipelines, and containerized environments. The engineer will design secure-by-design workflows, implement identity and access management, and harden systems against supply chain threats. They will also mentor teams and lead security initiatives across a multi-cloud environment, ensuring AI systems remain safe, interpretable, and trustworthy.

Anthropic London, United Kingdom £240,000 – £325,000 pa
Hybrid Permanent
The scene

Hiring in London

London's tech ecosystem is robust and diverse, with a high concentration of machine learning roles. Companies ranging from fintech startups to global tech giants are actively recruiting, offering a wide array of opportunities for professionals at all levels.

The city's strong network of tech meetups, conferences, and industry events provides a platform for continuous learning and professional growth. Whether you're looking to advance your career or connect with like-minded professionals, London's vibrant tech community is a valuable resource.

FAQs

Common questions

  • London is home to a wide range of companies, including startups, scaleups, and established tech giants. Many financial institutions and research-heavy organisations also hire machine learning experts.

  • Many roles in London offer hybrid or fully remote options, but the city's vibrant tech scene and networking events make on-site work a valuable experience.

  • In-demand skills include expertise in deep learning, natural language processing, and reinforcement learning, as well as proficiency in Python and TensorFlow.

  • For detailed salary information, check the salary section on this page, which is updated with live job listings and market data.

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