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
393
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

393 live roles

See all 393 roles

Senior Front Office Engineer Short-Term Power Markets- Leading Global Energy Commodities Trading

This role involves designing, developing, and maintaining real-time trading applications and data pipelines for the European Intraday Power desk. You will work closely with the front office to build tools that enable efficient strategy testing and execution in fast-moving energy markets, leveraging Python, SQL, and cloud-native architectures.

eFinancialCareers London, United Kingdom
On-site Permanent

Senior Front Office Engineer- Leading Global Energy Commodities Trading

This role involves partnering with traders and analysts to optimize trading processes, building scalable Python services and APIs, and designing cloud-native tools for the Front Office platform. You will work in a fast-paced, data-driven environment, focusing on systematic trading and risk management.

eFinancialCareers London, United Kingdom
On-site 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

Member of Technical Staff, Safety 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

Senior ML Systems Engineer, Frameworks & Tooling

Design and maintain core components of a large-scale LLM training framework, focusing on distributed systems, performance optimization, and developer tooling. Work across the ML stack to improve throughput, stability, and reproducibility on multi-node GPU clusters. Build monitoring, debugging, and automation tools to support fast-moving research and production workflows.

Cohere London, United Kingdom
Remote Permanent
Synthesia logo

Principal Research Engineer

Lead the end-to-end technical direction of offline video generation for a leading AI video platform, driving large-scale generative model development from pre-training through post-training. Bridge research and product by solving cross-cutting technical challenges in training stability, data pipelines, and alignment. Coach engineers, shape team processes, and accelerate the deployment of state-of-the-art avatar video models at scale.

Synthesia London, United Kingdom
Remote 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
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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