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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
598
Salary range
£28k – £640k
Hiring companies
73
View 598 live roles → Get an alert

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

£28k – £640k

Based on advertised midpoints across the 98 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
28
45
4 jobs
Junior
38
40
1 job
Mid
30
640
24 jobs
Senior
45
630
44 jobs
Lead
60
160
19 jobs
Director
100
200
3 jobs
Live jobs

598 live roles

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Quantitative developer

The role involves building and maintaining production-grade code for managing and executing orders across multiple MFT strategies and exchanges. You will collaborate with quant and machine learning researchers to refine data pipelines and execution algorithms, and support various other SE/QD workloads.

eFinancialCareers London, United Kingdom £200,000 – £300,000 pa
On-site Permanent

ML Quant Researcher - Selby Jennings

This role involves developing and deploying machine learning models to generate trading signals using large financial datasets. You will work on feature selection, model validation, and productionising research, collaborating closely with other researchers and engineers to ensure robust and scalable systems.

eFinancialCareers London, United Kingdom
On-site Permanent

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves collaborating with researchers and engineers to advance the capabilities and safety of large language models through reinforcement learning. Responsibilities include developing core RL infrastructure, designing novel training environments, and optimizing performance across the stack.

Anthropic London, United Kingdom
On-site Permanent

Software Engineer, Safeguards Foundations (Internal Tooling)

This role involves designing, building, and maintaining internal review and enforcement tools for the Safeguards team. You will work closely with operations and policy teams to improve workflows, integrate with detection systems, and ensure the tools are reliable and secure.

Anthropic London, United Kingdom
On-site Permanent

Member of Technical Staff, Safety for Agents

This role involves developing better, fairer, and more secure Large Language Models (LLMs) by focusing on data generation, post-training algorithms, and evaluation methods. You will work closely with cross-functional teams to ensure the safety and ethical use of LLMs, with a significant emphasis on experimental design and data management.

Cohere London, United Kingdom
Hybrid Permanent

Senior ML Systems Engineer, Frameworks & Tooling

This role involves building and maintaining the training framework for large-scale language models, designing distributed training abstractions, and developing tooling to connect research ideas to thousands of GPUs. You will work closely with infrastructure teams to ensure high-performance training and resolve performance bottlenecks across the ML systems stack.

Cohere London, United Kingdom
Remote Permanent

Senior Applied Data Scientist

As a Senior Applied Data Scientist, you will lead and deliver complex data science projects, applying machine learning and human creativity to solve real-world business problems. You will work closely with the Tesco Personalisation team to develop and deploy scalable personalisation solutions, collaborating with a team of 30+ data scientists.

dunnhumby London, United Kingdom
Hybrid Permanent

Applied Data Scientist

As an Applied Data Scientist, you will work on complex problems in category management, leveraging advanced data science and machine learning techniques to deliver actionable insights for clients like Tesco. You will collaborate closely with client leadership and team members to build scalable, reusable solutions that drive measurable value and innovation.

dunnhumby London, United Kingdom
Hybrid Permanent Flexible
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Roles hiring here

Roles hiring in London

The most-listed roles in this cluster right now. Tap through to a role profile when one exists, or to the live search results.

Machine Learning Engineer Jobs

£39k – £630k
30 open

ML Research Engineer Jobs

£370k – £630k
4 open

Machine Learning Scientist Jobs

Role profile
4 open

Computer Vision Engineer Jobs

£80k – £160k
3 open

Reinforcement Learning Engineer Jobs

£370k – £640k
3 open

MLOps Engineer Jobs

£90k – £120k
2 open
Top hirers

Hiring here right now

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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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