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
287
Salary range
£59k – £250k
Hiring companies
52

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

£59k – £250k

Based on advertised midpoints across the 58 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
24% of listings advertise a salary.
By seniority
£k base
Mid
52
253
5 jobs
Senior
65
190
21 jobs
Lead
70
178
6 jobs
Live jobs

287 live roles

See all 287 roles →

Applied AI Engineer, Codex Core Agent

This role involves improving the performance of Codex agents in real-world software engineering tasks, working closely with research, infrastructure, and product teams. Responsibilities include designing agent behaviors, evaluating performance, enhancing robustness, and building feedback loops to improve the agent's usefulness and reliability.

OpenAI London, United Kingdom
Permanent

Applied AI Engineer, Quants

This role involves working directly with quantitative investment and trading firms to apply OpenAI’s models and Codex to their research and development workflows. Responsibilities include identifying valuable opportunities, building and deploying AI systems, and guiding technical decisions to ensure production readiness and sustained adoption.

OpenAI London, United Kingdom
Hybrid Permanent

Senior Member of Technical Staff, Synthetic Data

This role involves designing and building scalable inference pipelines for synthetic data, conducting data ablations, and implementing innovative synthetic data curation methods. You will work with large-scale datasets and collaborate with cross-functional teams to enhance model performance and drive advancements in natural language processing.

Cohere London, United Kingdom
Remote Permanent

Research (Winter 2027)

This role involves collaborating with Cohere researchers on cutting-edge machine learning research, building and training large language models, and contributing to research initiatives with practical applications in product development. The intern will work on projects related to base model training, retrieval augmented generation, data and evaluation, safety, and finetuning.

Cohere London, United Kingdom
Remote Internship
Databricks logo

AI Forward Deployed Engineer - London

This role involves developing and deploying cutting-edge GenAI solutions for customers, collaborating with product and engineering teams, and presenting at industry conferences. The ideal candidate has extensive experience with GenAI tools and platforms, a passion for collaboration, and a graduate degree in a quantitative field.

Databricks London, United Kingdom

Forward Deployed Engineer

This role involves embedding directly with strategic enterprise customers to build and deploy production AI applications using Anthropic's Claude models. The engineer will develop technical solutions such as MCP servers, sub-agents, and agent skills while working within complex customer environments. They will also identify repeatable deployment patterns and act as a technical ambassador for Anthropic’s mission, requiring frequent travel and strong cross-functional collaboration.

Anthropic London, United Kingdom £225,000 – £255,000 pa
Isomorphic Labs logo

Research Engineer (LLM Performance), London

This role involves advancing large language models for drug discovery by optimizing post-training methods, scaling frontier AI systems, and solving performance bottlenecks in distributed training and inference. The engineer will collaborate with interdisciplinary teams to translate research into production-ready systems, applying low-precision techniques and performance optimization strategies to real-world drug design challenges. Work focuses on improving model efficiency and scalability within a mission-driven environment combining AI and computational biology.

Isomorphic Labs London, United Kingdom

Machine Learning Engineer - Quantitative Trading- Leading Market-Maker / Hedge Fund

Design and build machine learning infrastructure for training, inference, and large-scale research workflows in a high-performance trading environment. Collaborate with researchers and engineers to productionise ML models and improve experimentation tooling. Work at the intersection of software engineering, mathematics, and cutting-edge ML systems.

eFinancialCareers London, United Kingdom £200,000 – £250,000 pa
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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