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
398
Salary range
£46k – £170k
Hiring companies
48

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 – £170k

Based on advertised midpoints across the 56 priced listings posted in the last 12 months. Base salary only.

Salary visibility
18% of listings advertise a salary.
By seniority
£k base
Mid
50
124
7 jobs
Senior
47
190
24 jobs
Lead
75
178
5 jobs
Live jobs

398 live roles

See all 398 roles
Wayve logo

Autonomous Driving Forensics Engineer

Investigate and resolve complex issues across Wayve's autonomous vehicle stack using data analysis, simulation, and cross-functional collaboration. Focus on root cause analysis, safety, and systemic improvements in a fast-paced AI-driven environment.

Wayve London, United Kingdom
Wayve logo

Staff Tech Lead Manager, Machine Learning, Vision Models

Lead a team building offline scene understanding models that evaluate and explain the behavior of autonomous driving systems. The role involves technical leadership in adapting on-vehicle and foundation models for high-fidelity simulation and counterfactual analysis, with outputs directly informing model development and customer deliverables. Focuses on scalable, production-grade ML systems in a compute-rich offline environment.

Wayve London, United Kingdom
Amazon logo

Solutions Architect, Betting & Gaming, UK&I

This role involves working closely with betting and gaming clients across the UK and Ireland to understand their technical challenges and design cloud-based solutions using AWS technologies. The Solutions Architect will lead architecture reviews, deliver technical workshops, and act as a trusted advisor, translating business needs into scalable, innovative cloud solutions. A key focus is driving adoption of AI, generative AI, and data analytics on AWS while advocating for customer needs internally.

Amazon London, United Kingdom
Permanent
OpenAI logo

Applied AI Engineer

Design and deploy AI systems for enterprise clients, translating business needs into technical architectures and production implementations. Work hands-on with code, evaluation frameworks, and integrations while guiding customers from prototype to scalable, reliable deployment. Collaborate across OpenAI teams to turn real-world deployment insights into product improvements and reusable solutions.

OpenAI London, United Kingdom
Hybrid Permanent

Senior AI Operations Manager

This role involves managing the operational performance and reliability of enterprise AI platforms in production, with a focus on incident management, monitoring, SLAs, and DevOps practices. The individual will ensure operational readiness, support continuous improvement, and coordinate with distributed teams while applying principles of AI governance and responsible AI. The position requires strong technical leadership in cloud-based AI environments, particularly with Microsoft Azure AI and Co-pilot.

eTech Partners London, United Kingdom £90,000 – £100,000 pa
Remote

Senior AI Engineer - Perm - London

Design and build scalable AI data pipelines and cloud-native services, productionising machine learning and NLP models into reliable systems. Collaborate with data scientists and engineers to deliver intelligent products, while mentoring junior staff and shaping engineering standards. Work with cutting-edge technologies including LLMs, Kubernetes, and cloud platforms in a hybrid environment.

Infused Solutions London, United Kingdom £65,000 – £75,000 pa
Hybrid Permanent

Associate Analytics Consultant

This role involves delivering data-driven consultancy projects for major financial services and telecoms clients, focusing on credit risk analytics. You'll develop credit scorecards, build statistical and machine learning models, and design lending strategies using CRA data and tools like SQL and Python. The position is client-facing, requiring clear communication of technical insights to senior stakeholders while working across the full modelling lifecycle in a hybrid setup.

Harnham - Data and Analytics Recruitment London, United Kingdom £70,000 – £75,000 pa
Amazon logo

Applied Scientist, Ads Brand Safety and Suitability

This role involves building and deploying AI systems to detect unsafe, unsuitable, or policy-violating content across digital advertising inventory. You'll develop low-latency, LLM-powered classification models that operate at internet scale, making real-time decisions across text, images, audio, and video to protect advertiser trust. The work combines frontier AI research with large-scale production engineering to combat evolving synthetic and adversarial content.

Amazon London, United Kingdom
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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