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
611
Salary range
£28k – £640k
Hiring companies
72

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 97 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
28
45
3 jobs
Junior
38
40
1 job
Mid
30
640
23 jobs
Senior
45
630
44 jobs
Lead
60
160
19 jobs
Director
100
200
3 jobs
Live jobs

611 live roles

See all 611 roles

Financial Risk Analytics FRA Analyst

This role involves providing technical and analytical support for financial risk analytics solutions, focusing on data quality, issue resolution, and process improvement within a global team. The analyst will work with large financial datasets, troubleshoot system and data issues, and contribute to the development and testing of risk analytics products used by major financial institutions. Emphasis is placed on attention to detail, cross-functional collaboration, and ensuring reliable, scalable workflows.

eFinancialCareers London, United Kingdom
Hybrid Permanent
Amazon logo

Senior Business Intelligence Engineer, EU Retail TCEE Data & Analytics

This role involves leading high-impact analytics projects by transforming ambiguous business questions into rigorous, data-driven insights. You will design and own critical data pipelines, models, and dashboards that inform executive decision-making, ensuring metric accuracy and methodological soundness. The position emphasizes technical leadership, mentorship, and direct influence on strategic outcomes through robust data analysis and clear communication with senior stakeholders.

Amazon 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 NLP. The data scientist will analyze customer interactions, build predictive models, and design experiments to improve product discovery and recommendations. Collaboration with engineers and scientists is key to deploying scalable machine learning solutions in a high-impact environment.

Amazon London, United Kingdom
Hybrid Permanent

Business Analyst - AML Transaction Monitoring, Machine Learning - Alexander Mann Solutions Contingent

The role involves supporting the transformation of a financial crime detection system from a rules-based model to a machine learning-driven AML platform. The Business Analyst will gather requirements, define data needs, and work closely with data, compliance, and tech teams to ensure effective AML outcomes. Key responsibilities include analysing transaction data, validating model outputs, and translating financial crime risks into technical system requirements.

eFinancialCareers London, United Kingdom
Hybrid Contract Clearance Required

Software Engineer, Agents & Automations

This role involves building a platform within Cohere's North AI workspace that enables enterprises to create and manage AI-powered workflows and agents. You'll work across the full stack to develop features like workflow builders, execution engines, debugging tools, and integrations with enterprise systems. The focus is on delivering reliable, secure automation solutions that help businesses leverage AI while maintaining control over data and decision-making.

Cohere London, United Kingdom
Remote Permanent
Wayve logo

Embedded Automotive Platforms Software Engineer

Design and develop embedded software platforms that interface with automotive hardware and autonomous driving systems, creating abstractions and APIs to enable consistent deployment across varied target platforms. Work across Linux and QNX systems, integrating core AV functions like inference, control, and localisation while minimising platform-specific customisation through robust middleware and hardware abstraction layers.

Wayve London, United Kingdom
Hybrid Permanent

Senior AI Agent Engineer - Moveworks | Customer Deployment

This role involves designing and deploying custom AI agent solutions on the Moveworks ServiceNow platform for enterprise customers, from initial vision through to implementation and optimization. The engineer acts as a technical advisor, translating complex business challenges into scalable AI-driven workflows while integrating with existing enterprise systems. Success requires building reusable, high-impact solutions and feeding customer insights back into product development.

ServiceNow Tw184Tw, TW18 4TW, United Kingdom
Hybrid Permanent

Head of Banking

Leads AI transformation initiatives within the banking sector, shaping go-to-market strategy and building senior client relationships. Focuses on delivering enterprise-wide AI solutions across risk, operations, and customer experience in highly regulated environments. Builds and mentors teams while driving commercial growth and thought leadership in financial services AI.

Faculty London, United Kingdom
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.

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