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
394
Salary range
£46k – £168k
Hiring companies
49

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

£46k – £168k

Based on advertised midpoints across the 57 priced listings posted in the last 12 months. Base salary only.

Salary visibility
18% of listings advertise a salary.
By seniority
£k base
Mid
49
118
8 jobs
Senior
47
190
25 jobs
Lead
75
178
5 jobs
Live jobs

394 live roles

See all 394 roles

Quantitative Analyst - Research & Analytics

The role involves conducting in-depth quantitative analysis of hedge fund performance, developing and maintaining proprietary analytical frameworks, and building predictive models using alternative datasets and machine learning. The position is fully remote, requiring strong technical skills and the ability to work in a distributed environment.

eFinancialCareers London, United Kingdom
Remote Permanent

Quantitative Researcher Machine Learning - eFinancialCareers

The Quantitative Researcher will work closely with the algorithmic and technical teams to develop machine learning models that drive trading performance. Key responsibilities include building ML capabilities, developing trading indicators, and collaborating with senior leaders to shape a strategic approach to machine learning.

eFinancialCareers London, United Kingdom
On-site Permanent
Faculty AI logo

Customer Director (Maritime)

Lead the creation and growth of a dedicated maritime AI solutions unit for defence clients, including the Royal Navy and NATO/AUKUS. Act as a strategic entrepreneur to identify high-value opportunities, develop AI-driven propositions for naval challenges, and oversee end-to-end delivery of transformational technology projects. Requires deep maritime domain expertise and the ability to build trusted relationships with senior stakeholders in high-stakes environments.

Faculty AI London, United Kingdom
Hybrid Permanent Clearance Required
Faculty AI logo

Head of AI Assurance

Lead the development of a cutting-edge AI assurance proposition for financial and professional services, leveraging Faculty AI's expertise in AI safety and red-teaming. Define and deliver reusable frameworks, software tools, and evaluation methodologies to help clients validate, audit, and govern AI systems. Build trusted relationships with regulators, auditors, and senior stakeholders while shaping thought leadership in responsible AI adoption.

Faculty AI London, United Kingdom
On-site Permanent Clearance Required
Synthesia logo

Principal ML Platform Engineer

Design and build scalable, reliable systems for training, serving, and operating generative AI models in production. Develop internal tooling and agentic workflows to reduce manual effort and improve automation across research and product teams. Collaborate with researchers and engineers to enhance platform observability, debugging, and developer experience at scale.

Synthesia London, United Kingdom
Remote Permanent
Luminance logo

Product Designer

Design intuitive, user-centred experiences for an AI-powered enterprise platform used by legal, compliance, and operations teams. Lead end-to-end design from research to implementation, creating wireframes, prototypes, and workflows that simplify complex AI-driven processes. Collaborate with product, engineering, and legal experts to ensure usability, consistency, and alignment with the design system.

Luminance London, United Kingdom
Hybrid Permanent
Wayve logo

Strategic Partnership Manager

This role involves managing and scaling commercial partnerships for Wayve’s robotaxi deployments in London or Tokyo, working closely with ride-hailing platforms, OEMs, and internal teams. The individual will drive end-to-end launch readiness, technical integration, and operational scaling while navigating complex, regulated environments. Success requires aligning cross-functional teams around shared goals in a fast-paced, innovative setting.

Wayve London, United Kingdom
On-site Permanent
Synthesia logo

Sales Development Representative - French Speaker

Act as a Sales Development Representative focusing on inbound and outbound lead generation for an AI video platform. Engage prospects via phone, email, and social media, with a strong emphasis on building relationships and setting qualified meetings. Fluency in French and English is essential, and experience in B2B SaaS sales is preferred.

Synthesia London, United Kingdom
On-site 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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