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
546
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

546 live roles

See all 546 roles

Senior Data Engineer - Scala - Spark - Morgan McKinley

This role involves designing, building, and maintaining large-scale data pipelines using Scala and Apache Spark. You will work closely with ML Engineers and Researchers to develop and optimize data processing systems that support advanced machine learning workflows at scale.

eFinancialCareers London, United Kingdom £450 pd
Hybrid Contract

Senior Data Engineer Short-Term Power Markets- Leading Global Energy Commodities Trading

This role involves integrating and managing real-time data feeds from multiple sources, including market data, grid operations, and internal trading systems. The focus is on enhancing data quality, performance, and availability to support systematic trading and risk management in a fast-paced, data-driven trading environment.

eFinancialCareers London, United Kingdom
On-site Contract
Amazon logo

Applied Scientist, Observability and Triage, Prime Video

This role involves designing and developing machine learning and generative AI systems to automate incident triage, root cause analysis, and resolution recommendations. You will work closely with software engineering teams across multiple countries to integrate these models into production observability systems, reducing operational load and improving service reliability.

Amazon London, United Kingdom
On-site Permanent
Amazon logo

System Development Engineer I, Catalog Engineering Service Support

This role involves providing service level issue support for Amazon's catalog systems, ensuring software packages are free from vulnerabilities, setting up metrics and alarms, and driving root cause resolutions. You will build tools to improve operational efficiency and work with cross-functional teams to solve complex problems.

Amazon London, United Kingdom
On-site Permanent

AI Use Case Business Lead-Trade and Working Capital - Vice President - London

This role involves owning and managing the AI use case book of work for Trade and Working Capital, translating business needs into technical requirements, and driving end-to-end delivery from ideation to value realization. The position also focuses on upskilling initiatives and aligning with firmwide AI initiatives.

JPMorgan Chase & Co. Central London, W3 0BJ, United Kingdom
On-site Permanent

Lead Software Engineer - MLOps

As a Lead Software Engineer in the MLOps team, you will design, build, and deploy scalable AI/ML solutions to enhance banking experiences. You will collaborate with data scientists and engineering teams to translate business initiatives into robust systems, ensuring security, reliability, and continuous improvement.

JPMorgan Chase & Co. Central London, W3 0BJ, United Kingdom
On-site Permanent

Senior Software Engineer, Inference

The role involves building and maintaining critical systems for serving Claude, a large language model, to millions of users. Responsibilities include optimizing compute efficiency, enabling breakthrough research, and tackling complex distributed systems challenges across multiple cloud platforms and AI accelerators.

Anthropic London, United Kingdom £225,000 – £325,000 pa
Hybrid Permanent

Research Engineer / Scientist, Alignment Science - London

As a Research Engineer on the Alignment Science team, you will design and execute machine learning experiments to ensure AI systems are safe, helpful, and aligned with human values. You will collaborate with other teams to test and improve safety techniques, develop evaluation tools, and contribute to research papers and presentations.

Anthropic London, United Kingdom £260,000 – £370,000 pa
Hybrid 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.

Hiring in this cluster?

Post your role in 90 seconds and reach the specialist audience that already reads this page.