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

C++ Quant Developer / Equities Pod/ London/ £ High Base

This role involves developing and maintaining data engineering and prediction tools for systematic equities trading. You will work closely with the Senior Portfolio Manager and quantitative research team to build robust data pipelines, validate data integrity, and implement large-scale computational systems.

eFinancialCareers London, United Kingdom
On-site Permanent

Cash Equity Quant Researcher / London/ New York - Open

This role involves conducting advanced research to identify systematic anomalies in the equities market, developing and implementing trading strategies, and maintaining portfolio trading systems. You will work with large datasets, perform alpha idea generation, and contribute to the scalable research framework.

eFinancialCareers London, United Kingdom
On-site Permanent
Faculty AI logo

Lead Software Engineer

Lead the technical direction of AI and machine learning projects, designing production-grade systems and guiding cross-functional teams. Drive architectural decisions, mentor engineers, and deliver innovative solutions for clients in the energy and sustainability sector. Focus on reusable tools, scalable infrastructure, and high-impact delivery in a fast-paced environment.

Faculty AI London, United Kingdom
Hybrid Permanent
Faculty AI logo

Platform Engineer

This role involves designing and maintaining the MLOps and deployment infrastructure that enables data scientists to transition machine learning models from exploration to production. The engineer will work across AWS, Azure, and GCP to build scalable, containerised systems using Kubernetes and infrastructure-as-code tools. The focus is on creating reliable, secure, and high-performance platforms that support client-facing AI solutions.

Faculty AI London, United Kingdom
Hybrid Permanent
OpenAI logo

Protection Scientist Engineer, Intelligence and Investigations

Design and build systems to proactively detect and enforce against abuse on OpenAI's products, including monitoring for new launches and responding to critical escalations. Work cross-functionally with product, policy, and engineering teams to develop scalable safety mitigations and investigate high-risk harms. The role involves handling sensitive content and participating in an on-call rotation for urgent issues.

OpenAI London, United Kingdom
On-site Permanent Clearance Required
Luminance logo

Account Executive

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance London, United Kingdom
Hybrid Permanent
Amazon logo

AI Data Associate - Portuguese, Artificial General Intelligence

This role involves performing foundational data labeling tasks across text, speech, audio, and video to improve Alexa's performance. The associate will assess dialogue quality, annotate multimodal data, and ensure high accuracy using internal tools. Emphasis is placed on attention to detail, operational efficiency, and maintaining strict data confidentiality within a structured office-based team environment.

Amazon London, United Kingdom
On-site Permanent
PhysicsX logo

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using Python, PyTorch, and cloud/on-prem infrastructure. Frequent international travel and on-site collaboration are key aspects of the role.

PhysicsX London, United Kingdom
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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