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 →

Research Engineer, Machine Learning (RL Velocity)

As a Research Engineer on the RL Velocity team, you will focus on building and improving the RL training infrastructure, identifying and removing bottlenecks, and partnering with researchers and engineering teams to enhance the efficiency and reliability of Anthropic's AI systems. This role involves high-leverage work that impacts the entire organization's ability to iterate and improve models quickly.

Anthropic London, United Kingdom £370,000 – £630,000 pa
Hybrid Permanent

Staff Software Engineer, Inference

This role involves building and maintaining large-scale, compute-agnostic inference systems that power Claude for millions of users and support cutting-edge AI research. The engineer will work across the full stack, optimizing intelligent request routing, fleet orchestration, and performance across diverse AI accelerators in multi-cloud environments. Projects include autoscaling infrastructure, integrating new hardware, and developing production pipelines for model deployment.

Anthropic London, United Kingdom £325,000 – £390,000 pa
Hybrid Permanent

Member of Technical Staff, Agent Code

Develop and scale cutting-edge code-generating large language models and autonomous agent systems for enterprise applications. Conduct research, implement novel algorithms, and build production-ready frameworks using state-of-the-art compute infrastructure. Collaborate closely with researchers and engineers in a fast-paced, innovation-driven environment focused on advancing AI capabilities.

Cohere London, United Kingdom
Hybrid Permanent

Member of Technical Staff, Modeling

This role involves designing, building, and scaling AI systems to serve enterprise and developer customers, with a strong emphasis on both research and production engineering. You'll work on frontier models using large-scale compute and data infrastructure, implementing novel research ideas and deploying state-of-the-art models. The position offers deep engagement with cutting-edge AI research while contributing directly to product development in a highly collaborative, remote-friendly environment.

Cohere London, United Kingdom
Remote Permanent
Fractile logo

Senior ML Compiler Engineer

Design and develop a high-performance ML compiler stack for AI accelerators, focusing on optimizing large language models. Collaborate closely with hardware, runtime, and ML teams in a full-stack co-design environment. Help define the IR, optimization passes, and execution model for a novel computing architecture.

Fractile London, United Kingdom

Lead Data Scientist

Lead a team of data scientists to design and deliver high-impact, production-grade AI solutions for clients in highly regulated sectors such as finance and professional services. Drive technical direction, lead complex project scoping, and act as a trusted advisor to clients while shaping best practices and mentoring junior staff. Work across the full project lifecycle from feasibility to deployment, balancing innovation, speed, and reliability in real-world applications of machine learning.

Faculty AI London, United Kingdom
Hybrid Permanent

Engineering Technician

The role involves diagnosing and resolving engineering faults in a highly automated grocery fulfilment centre, performing planned maintenance, and contributing to reliability improvement projects. It requires hands-on technical work with automation systems and control hardware/software in a 24/7 operational environment. Technicians work across day and night shifts to ensure continuous system performance.

Ocado London, DA8 1SP, United Kingdom
On-site Permanent

Member of Technical Staff, Applied AI

Develop and deploy proprietary generative AI models into pharmaceutical and biotech customer environments, bridging deep technical understanding with production engineering. Collaborate closely with researchers and customer teams to adapt models, build robust ML pipelines, and deliver performant, secure inference systems. The role involves translating scientific requirements into technical solutions and feeding insights back into model development.

Latent Labs London, United Kingdom, United Kingdom
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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