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
393
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

393 live roles

See all 393 roles

Quant Fund Recruiting Experienced Statistical Arbitrage Researcher Location

This role involves partnering with the research team to develop and refine intraday and systematic trading strategies using statistical arbitrage. You will analyze large-scale market data, build predictive models, and collaborate with technology teams to integrate these models into advanced trading infrastructure. The position is ideal for those who want to be involved in all aspects of the research, trading, and coding process in a collaborative start-up environment.

eFinancialCareers London, United Kingdom
Hybrid Permanent

Quantitative Researcher - London

As a Quantitative Researcher, you will develop and test innovative signals, models, and trading strategies for global financial markets. You'll work closely with a small, high-performing team to design and implement research tools and data pipelines, applying rigorous statistical and computational methods.

eFinancialCareers London, United Kingdom
On-site 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

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves collaborating with researchers and engineers to advance the capabilities and safety of large language models through reinforcement learning. Responsibilities include developing core RL infrastructure, designing novel training environments, and optimizing performance across the stack.

Anthropic London, United Kingdom £260,000 – £630,000 pa
On-site Permanent
Amazon logo

Applied Scientist II, Strategic Account Services (SAS)

This role involves developing and deploying advanced AI systems that enhance both seller operations and internal consultancy at Amazon. The scientist will design machine learning architectures—particularly using LLMs, generative AI, and optimization techniques—to solve complex marketplace challenges. The position emphasizes end-to-end innovation from research to production, with a focus on scalable, interpretable, and impactful AI solutions.

Amazon London, United Kingdom
On-site Permanent
Amazon logo

Contract Manager, AWS Legal

This role involves managing the full lifecycle of contracts for AWS data center infrastructure, including drafting, negotiating, and advising on legal and commercial matters. The Contracts Manager will work closely with cross-functional teams on design, construction, operations, and security, while driving process improvements and adopting AI tools to streamline contract workflows at scale.

Amazon London, United Kingdom
Permanent
PhysicsX logo

Principal Research Scientist

This role involves leading high-level research initiatives to develop AI-driven simulation software for engineering and manufacturing. The Principal Data Scientist will define technical direction, mentor junior researchers, and translate complex physics and engineering problems into mathematical models using deep learning and probabilistic methods. Collaboration with ML engineers, simulation teams, and customers is key, with a focus on publishing findings and deploying models into production.

PhysicsX London, United Kingdom
PhysicsX logo

Machine Learning Software Engineer, Research

Develop and scale machine learning models for AI-driven physics and engineering simulations, translating research prototypes into robust, production-grade systems. Work across distributed training, cloud infrastructure, and high-performance computing to deliver foundational models used in aerospace, energy, and advanced manufacturing. Collaborate closely with research scientists and engineers to optimize performance and enable real-world impact.

PhysicsX 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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