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
391
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

391 live roles

See all 391 roles

Python Developer - Quantitative Developer - Tribus

You will design and build Python and C++ tools for quant research and signal generation, partnering with researchers and traders to translate their requirements into software solutions. The role involves handling large-scale data ingestion, optimizing algorithms, and leveraging HPC and distributed systems for performance and scalability.

eFinancialCareers London, United Kingdom
On-site Permanent

Machine Learning Modeling Lead - DTG Capital Markets

This role involves leading the development and deployment of machine learning models that power the firm's trading systems. Responsibilities include setting the long-term vision for the model portfolio, designing training pipelines, building explainability tools, and mentoring a team of ML researchers. The position requires deep expertise in modern ML methods, real-time systems, and quantitative finance.

eFinancialCareers London, United Kingdom
Remote Permanent

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, MLE (UK/EU)

This role involves working directly with enterprise customers to identify critical AI challenges and designing solutions using large language models. You'll bridge the gap between research and production by leading projects from concept to deployment, mentoring engineers, and collaborating across engineering, product, and legal teams. The position emphasizes technical leadership, cross-functional alignment, and innovation in applied machine learning for real-world enterprise applications.

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
Amazon logo

AI & Surge Enablement Lead, EMEA Field Enablement Team, WWFE - EMEA Field Enablement

This role involves owning the AI and Surge Inference enablement strategy for EMEA, developing and delivering targeted enablement programs, and building strategic relationships with field leadership and AI stakeholders. The candidate will translate evolving AI capabilities into practical, field-ready programs and serve as the voice of the field on AI enablement needs.

Amazon London, United Kingdom
On-site Permanent
Amazon logo

AI Design Technologist, Marketing Productivity, Amazon Ads Marketing

This role involves building AI-powered prototypes, agents, and automations to streamline marketing workflows within Amazon Ads. You'll use AI-assisted development tools to transform UX concepts into working code, focusing on solving labor-intensive tasks for marketers. The position emphasizes rapid prototyping, cross-functional collaboration, and establishing reusable frameworks to scale AI adoption across the marketing organization.

Amazon 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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