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
286
Salary range
£59k – £250k
Hiring companies
52

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

£59k – £250k

Based on advertised midpoints across the 58 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
24% of listings advertise a salary.
By seniority
£k base
Mid
52
253
5 jobs
Senior
65
190
21 jobs
Lead
70
178
6 jobs
Live jobs

286 live roles

See all 286 roles →

Researcher, Training - London

This role involves advancing large language model (LLM) development through research and experimentation, focusing on architecture design, optimization, and scaling. The researcher will work on improving model intelligence and efficiency, contributing to both training infrastructure and inference systems. Based in London with a hybrid work model, the position emphasizes hands-on empirical work and collaboration within a cutting-edge AI research environment.

OpenAI London, United Kingdom
Hybrid Permanent

Staff Software Engineer, Node Infra

This role focuses on designing and operating large-scale infrastructure systems that manage the full lifecycle of AI accelerator nodes across multiple cloud providers and on-prem datacenters. The engineer will lead technical strategy for node provisioning, health monitoring, and automated repair, ensuring high availability and efficiency for Anthropic’s AI training and inference workloads. The position involves deep collaboration with research, product, and cloud teams to scale infrastructure reliably while driving operational excellence and mentoring other engineers.

Anthropic London, United Kingdom £325,000 – £485,000 pa
On-site Permanent

Staff+ Software Engineer, Safeguards Infrastructure

Build foundational systems for AI safety, oversight, and intervention mechanisms, focusing on detecting unwanted model behaviors and preventing disallowed use. Develop infrastructure for data management, metrics, evaluations, and review tooling while ensuring high operational reliability and scalability. Work across the stack to create multi-layered, real-time safety defenses with minimal human intervention.

Anthropic London, United Kingdom £255,000 – £325,000 pa
Hybrid Permanent

Data Scientist - Credit

This role involves developing and deploying predictive models for credit risk using machine learning techniques. You will work closely with the Credit and Product teams to enhance model performance and drive profitability across the business.

Harnham - Data and Analytics Recruitment London, United Kingdom £55,000 – £65,000 pa
On-site Permanent

Member of Technical Staff, Training Performance Engineer

This role involves optimizing the performance of large language models during training, focusing on improving throughput and accelerator utilization. You'll design high-performance software, write low-level CUDA and Triton kernels, and develop profiling tools to eliminate bottlenecks. The position sits within a research-driven team working at the intersection of ML and systems engineering, leveraging large-scale infrastructure to advance NLP capabilities.

Cohere London, United Kingdom
Hybrid Permanent

Senior Member of Technical Staff, Safety and Security for Agents

This role focuses on improving the safety, fairness, and trustworthiness of next-generation large language models that interact with external resources and take autonomous actions. You'll design and implement data generation strategies, post-training algorithms, and evaluation methods, working closely with ML, policy, and product teams. The position emphasizes hands-on experimentation, statistical rigor, and responsible AI practices in a highly autonomous, research-driven environment.

Cohere London, United Kingdom
Hybrid Permanent

Customer Director - Professional Services

Leads AI transformation initiatives for professional services firms, building strategic relationships with C-suite stakeholders and guiding multidisciplinary teams to deliver production-grade AI solutions. Focuses on automating complex knowledge work and scaling enterprise-wide AI adoption in regulated environments. Shapes go-to-market strategy and drives commercial growth through high-impact client engagements and thought leadership.

Faculty London, United Kingdom
On-site Permanent

Lead Forward Deployed Engineer

Lead the technical direction of complex AI and machine learning projects, from strategy through to client deployment, while mentoring engineering teams and shaping reusable solutions across the organisation. Design scalable, reliable systems using Python and cloud platforms, and act as a technical advisor to both internal teams and external clients in high-stakes, regulated environments. Drive innovation by evaluating and integrating new technologies while ensuring architectural soundness and delivery excellence.

Faculty 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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