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
367
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

367 live roles

See all 367 roles

Vice President, Data Science

Leads the design and implementation of high-rigor machine learning and analytical systems across a regulated financial services environment. Focuses on production-grade models for anomaly detection, forecasting, and behavioral signals, ensuring reliability, explainability, and regulatory compliance. Works closely with engineering and product teams to drive models from concept to operation and provides technical leadership in complex, data-intensive scenarios.

eFinancialCareers London, United Kingdom
Hybrid Permanent
Amazon logo

Data Scientist II, Alexa for Shopping Science UK

This role involves developing and optimizing AI-driven conversational shopping experiences using large language models, multimodal data, and advanced machine learning techniques. The Data Scientist will analyze vast datasets to improve customer interactions with Alexa for Shopping, focusing on NLP, recommender systems, and knowledge graphs. Collaboration with engineers and scientists is key to deploying scalable solutions and driving product innovation through experimentation and data insights.

Amazon London, United Kingdom
Hybrid Permanent
Amazon logo

Engineering Manager - Data and Analytics, Network Flow and Technologies

Lead a team of engineers to design and build data infrastructure that models Amazon's global fulfillment network, enabling optimization of delivery from click to customer. Develop scalable data solutions using AWS technologies, ensuring data quality, integrity, and actionable insights for business stakeholders. Collaborate with cross-functional teams to drive efficiency and improve customer experience through data-driven decision-making.

Amazon London, United Kingdom
Hybrid Permanent

Quantitative Researcher

Develop predictive models using high-frequency and alternative data to generate alpha in equities and futures markets. Work closely with developers to implement and optimize ML-driven trading signals, leveraging cutting-edge techniques in deep learning, NLP, and tree-based models within a collaborative research environment.

eFinancialCareers London, United Kingdom £200,000 pa
On-site Permanent
Bodyswaps logo

Senior AI Engineer

The role involves developing emotionally responsive virtual humans using AI to enhance soft-skills training. You'll work across the full AI stack—integrating large language models with speech and vision systems—to create realistic, interactive simulations. The position emphasizes research-to-product development, rigorous evaluation, and cross-disciplinary collaboration in a socially impactful startup environment.

Bodyswaps London, United Kingdom
Hybrid Permanent

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance on a variety of projects.

Platform Recruitment London, United Kingdom £80,000 – £160,000 pa
On-site Permanent

Lead Machine Learning Engineer - Retail

Lead Machine Learning Engineer to define technical direction and deliver complex AI solutions for retail clients. Design scalable ML systems, mentor engineering teams, and drive innovation through reusable tools and cloud-native architectures. Work in high-risk, ambiguous environments to solve real-world business problems with responsible AI.

Faculty London, United Kingdom
On-site Permanent
OpenAI logo

Software Engineer, ChatGPT Infrastructure

Design, build, and operate reliable, scalable systems supporting AI products like ChatGPT and the OpenAI API. Focus on performance optimization, system resilience, automation, and developer experience across distributed infrastructure. Collaborate with research, product, and engineering teams to improve reliability, scalability, and observability at global scale.

OpenAI 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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