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
Spotlight
Fractile logo

ML Runtime Engineer

Design and develop high-performance ML runtime systems for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to optimize inference performance. Build low-level runtime components in Rust and contribute to the full stack of ML inference infrastructure.

Fractile London, United Kingdom
Hybrid Permanent

Leading Engineering Developer - Enterprise AI Products - Senior Vice President - Citi

This role involves leading technical components of an AI-enabled platform, designing and developing robust solutions using Python or Java, and working with cutting-edge technologies like Google ADK, Model Context Protocol (MCP), and agent-based architectures. The developer will engage directly with business partners to translate real-world problems into technical solutions, drive platform strategy, and ensure seamless integration across systems while maintaining high standards in code quality, risk, and compliance.

eFinancialCareers London, United Kingdom
Wayve logo

Senior Data Scientist

Develop actionable insights from real and simulated driving data to improve the functionality, safety, and performance of Wayve's AI-driven autonomous vehicles. Design experiments, refine performance metrics, and collaborate with engineering teams to advance end-to-end AI for automated driving. Work in a fast-paced, innovative environment focused on shaping the future of autonomous mobility.

Wayve London, United Kingdom

AI Copilot Developer

Develop and implement AI-driven copilot systems to enhance user interactions within a banking technology environment. Design, test, and integrate advanced AI algorithms and collaborate with cross-functional teams to deliver cutting-edge solutions. Focus on innovation, with responsibilities spanning development, integration, and validation of AI functionalities using modern frameworks and tools.

eFinancialCareers London, United Kingdom £400 – £490 pd
On-site Contract
Wayve logo

Data Science - Manager

Lead a team of data scientists focused on delivering high-impact evaluations and insights from real and simulated driving data to accelerate autonomous vehicle development. Drive technical direction, roadmap execution, and cross-functional collaboration with engineering teams. Scale the team and its tooling to support Wayve’s mission of advancing end-to-end AI for automated driving.

Wayve London, United Kingdom

Associate Director, Platform Engineering

Lead the platform engineering function for a TechBio company pioneering drug discovery through single-cell multi-omics and machine learning. Define and evolve the hybrid on-premises and cloud infrastructure strategy, with a focus on Kubernetes, MLOps, scientific compute environments, and platform security. Develop the team and platform to support data-intensive genomic pipelines, model training, and CI/CD maturity while ensuring robust observability, disaster recovery, and compliance with clinical-stage data governance standards.

Relation Therapeutics London, United Kingdom
Permanent
Experis logo

Software Engineer

Design and build scalable cloud infrastructure and services to support AI models and agentic applications in a production environment. Develop robust, high-performance systems using modern cloud technologies and biomedical data sources. Collaborate with ML engineers and scientists to ensure infrastructure meets operational and performance requirements across the full software lifecycle.

Experis London, United Kingdom £750 – £830 pd
Databricks logo

Sr. Solutions Engineer

This role involves leading technical sales engagements by conducting hands-on proofs-of-concept and evaluations for digital-native companies adopting Databricks' Data Intelligence Platform. The Senior Solutions Engineer will collaborate with engineering and sales teams to demonstrate solutions across data engineering, machine learning, and Generative AI, using real-world data and modern cloud architectures. The position emphasizes technical credibility, customer problem-solving, and rapid validation in high-velocity sales cycles.

Databricks 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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