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
611
Salary range
£28k – £640k
Hiring companies
73

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

611 live roles

See all 611 roles

Machine Learning Quant - Start Up

This role involves developing and deploying advanced AI/ML models for a stealth start-up Quant hedge fund. Responsibilities include building proprietary trading systems, experimenting with new datasets, and contributing to novel trading ideas. The team is advised by a Fields Medallist and is preparing to launch next year.

eFinancialCareers London, United Kingdom £150,000 pa
On-site Permanent

C# Developer - Front Office Engineering Hedge Fund - London - eFinancialCareers

This role involves designing, building, and enhancing high-impact trading and research platforms in a fast-moving, highly technical environment. You will work closely with quants, traders, and the CTO, contributing to core trading systems, front-office tooling, and data-driven applications using C# and .NET.

eFinancialCareers London, United Kingdom
On-site Permanent
Amazon logo

Applied Scientist, Amazon Transportation

This role involves developing machine learning and optimization models for Amazon's large-scale transportation planning systems, focusing on external freight. Responsibilities include creating dynamic pricing and network planning models, building scalable products, and implementing algorithms in production systems. The team works on optimizing Amazon's freight marketplace, improving the experience for carriers and shippers, and solving complex problems with significant business impact.

Amazon London, United Kingdom
On-site Permanent
Amazon logo

Applied Scientist Gen AI - Amazon Advertising, CreativeX

As an Applied Scientist in Amazon Advertising's CreativeX team, you will focus on developing and implementing multi-modal Generative AI methods to create high-quality advertising creatives. Your responsibilities will include building and optimizing ML models, conducting experiments, and collaborating with cross-functional teams to productize your research. You will also contribute to the team's collaborative spirit by mentoring others and publishing your findings.

Amazon London, United Kingdom
On-site Permanent

Facilities Manager

About the Role: As a CBRE Facilities Manager, you will manage a team responsible for providing overseeing building operations and maintenance for a facility, campus, or portfolio of small to medium sized buildings.This job is a part of the Facilities...

CBRE Enterprise EMEA London, United Kingdom

Health and Safety Advisor

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting a Health & Safety Advisor to join a global financial services account team based in London.About the Role:The role is...

CBRE Enterprise EMEA London, United Kingdom
PhysicsX logo

Staff Machine Learning Software Engineer, Research

This role involves shaping the research group's strategy and culture, defining necessary profiles, and promoting effective working patterns. You will work closely with research scientists and simulation engineers to build and deliver machine learning models that address real-world physics and engineering problems, focusing on scalability, efficiency, and robust implementation. The position also includes mentoring junior team members and setting technical direction for the research stream.

PhysicsX London, United Kingdom
On-site Permanent
PhysicsX logo

Principal Research Scientist

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....

PhysicsX London, United Kingdom
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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