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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
327
Salary range
£55k – £210k
Hiring companies
59
View 327 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

£55k – £210k

Based on advertised midpoints across the 56 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
20% of listings advertise a salary.
By seniority
£k base
Mid
56
226
7 jobs
Senior
70
204
20 jobs
Live jobs

327 live roles

See all 327 roles →

Equity Quant Strat - Bruin

This role involves applying AI, machine learning, and advanced analytics to enhance equity research and idea generation. You will work closely with Portfolio Managers and Analysts to test investment hypotheses, develop research tools, and improve portfolio construction and risk management.

eFinancialCareers London, United Kingdom

Senior Machine Learning Engineer

This role involves working on complex R&D projects in speech technology, collaborating with a diverse team of engineers, and staying current with the latest developments in machine learning. Responsibilities include training and deploying models, optimizing inference, and mentoring team members.

Speechmatics London, United Kingdom

Senior Software Engineer (Safety)

As a Senior Software Engineer, you will lead the development and deployment of cutting-edge AI systems for high-impact missions. You will design and build scalable, production-grade ML software and infrastructure, collaborate with cross-functional teams, and mentor junior engineers.

Faculty London, United Kingdom
Permanent

Machine Learning Engineer (Safety)

As a Machine Learning Engineer, you will build and deploy production-grade ML systems, collaborate with cross-functional teams to solve critical client challenges, and lead technical scoping and architectural decisions. You will work on high-stakes, high-impact missions in national security and AI safety, ensuring AI is secure, trustworthy, and safe for all.

Faculty London, United Kingdom
Hybrid Permanent

Artificial Intelligence Product Manager, PBWM - NatWest Group

This role involves defining the strategy and vision for AI themes in Private Banking Wealth Management, leading an Agile development team, and working with stakeholders to prioritize and deliver strategic AI initiatives. Responsibilities include managing risks, ensuring compliance, and driving client engagement through AI-powered solutions.

eFinancialCareers London, United Kingdom

Applied AI Lead

This role involves leading the AI engineering team at Chambers & Partners, shaping the company's AI strategy, and delivering multiple AI initiatives. Responsibilities include setting technical direction, mentoring the team, and collaborating with various departments to turn business challenges into practical AI solutions.

Chambers & Partners London, United Kingdom
On-site Permanent

Principal Architect – AI

This role involves leading the strategic and technical adoption of AI across engineering, product, IT, and operations at Becrypt. Responsibilities include identifying AI opportunities, designing secure AI platforms, and developing governance frameworks. The role requires hands-on technical expertise in Docker, Python, FastAPI, TypeScript, and AWS Bedrock, as well as a strong understanding of security and compliance.

Becrypt Ltd London, United Kingdom

Staff Machine Learning Engineer | | Up to+ Bonus

This role involves leading the development and deployment of sophisticated AI systems, including generative AI, LLMs, and multi-agent solutions. You will work across multiple engineering teams to establish reusable AI frameworks, tooling, and engineering standards, while remaining hands-on with complex AI applications. The role is deeply technical and offers the opportunity to influence the organization's AI strategy and adoption in a highly regulated environment.

WeDo Technology Solutions Limited London, United Kingdom £120,000 – £160,000 pa
Permanent
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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

£60k – £630k
43 open

ML Research Engineer Jobs

£260k – £640k
21 open

ML Platform Engineer Jobs

£90k – £485k
15 open

ML Infrastructure Engineer Jobs

£255k – £485k
8 open

Machine Learning Scientist Jobs

£85k – £100k
7 open

MLOps Engineer Jobs

£75k – £100k
5 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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