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 – £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

398 live roles

See all 398 roles

Equity Quantitative Analyst, Global Asset Manager, London, Global asset manager, London - eFinancialCareers

The role involves researching and designing new systematic equity strategies, partnering with the Portfolio Engineering team to implement quant capabilities, and enhancing existing factor and risk models. You will also run independent research projects, improve research tools, and collaborate with global teams to showcase systematic capabilities to clients and stakeholders.

eFinancialCareers London, United Kingdom
On-site Permanent

Software Engineering Manager - Machine Learning- Systematic Quant Fund

This role involves leading a team of experienced engineers to develop and maintain core machine learning infrastructure, including distributed model training, LLM hosting, and scalable deployment systems. You will drive technical direction and integrate advanced ML capabilities into high-stakes systems within a deeply technical environment.

eFinancialCareers London, United Kingdom
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

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on performance optimization, debugging across hardware and training dynamics, and ensuring reliable, scalable model training. The position requires deep technical expertise in distributed systems and ML frameworks, with hands-on responsibilities during high-pressure model launches and a strong emphasis on operational reliability and cross-team coordination.

Anthropic London, United Kingdom £260,000 – £630,000 pa
On-site Permanent

Member of Technical Staff, Data Analysis and Evaluation

Design and conduct data collection tasks with human annotators, evaluate dataset quality, and assess the robustness of large language models. Apply statistical methods and machine learning to improve model performance across diverse use cases in close collaboration with researchers and engineers.

Cohere London, United Kingdom
Remote Permanent

Member of Technical Staff, Agent Code

Develop and scale cutting-edge code-generating large language models and autonomous agent systems for enterprise applications. Conduct research, implement novel algorithms, and build production-ready frameworks using state-of-the-art compute infrastructure. Collaborate closely with researchers and engineers in a fast-paced, innovation-driven environment focused on advancing AI capabilities.

Cohere London, United Kingdom
Hybrid Permanent
Amazon logo

AI Data Associate - Dutch, Artificial General Intelligence

This role involves foundational data labeling for machine learning, focusing on evaluating dialogue in speech, text, audio, and video to improve Alexa's performance. The candidate will ensure high-quality annotations, identify error patterns, and contribute to process improvements while maintaining strict confidentiality. Work is conducted in-office with a focus on operational metrics and team collaboration.

Amazon London, United Kingdom
On-site Permanent
Wayve logo

Feature Owner, ADAS

This role involves end-to-end ownership of specific ADAS features such as Traffic Light Recognition, Blind Spot Monitoring, and Pre-Safe systems, ensuring they meet OEM requirements and are delivered to specification. The Feature Owner will work closely with engineering, product, and external partners to define scope, set performance targets, and support validation. Emphasis is placed on technical collaboration, customer advocacy, and aligning feature development with Wayve’s strategic autonomy roadmap.

Wayve 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.

Hiring in this cluster?

Post your role in 90 seconds and reach the specialist audience that already reads this page.