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 →

Applied AI Architect, Startups

This role involves serving as a trusted technical advisor to startup founders and engineering teams, helping them adopt and build on the Claude Developer Platform. The candidate will design LLM-powered architectures, lead technical evaluations, and translate startup needs into scalable AI solutions while gathering product feedback. The position bridges sales, product, and engineering, with a strong focus on hands-on technical guidance and real-world deployment of generative AI systems.

Anthropic London, United Kingdom £150,000 – £170,000 pa
On-site Permanent

Software Engineer

This role involves building and scaling the Frontier Decision Intelligence platform, focusing on creating enterprise-grade AI solutions for high-impact sectors like healthcare and life sciences. You'll work across full-stack development with Python and TypeScript, designing APIs and SaaS user experiences while collaborating in cross-functional squads. The position emphasizes technical ownership, scalable architecture, and solving complex real-world problems using state-of-the-art tools and practices.

Faculty AI London, United Kingdom
Hybrid Permanent

Delivery Manager

This role involves leading end-to-end delivery of high-impact AI projects for clients, acting as the primary liaison between technical teams and stakeholders. The Delivery Manager ensures timely execution, maximises value, and identifies new commercial opportunities while fostering strong client relationships. The position emphasizes innovation within regulated industries and contributes to shaping best practices in responsible AI deployment.

Faculty AI London, United Kingdom
Hybrid Permanent

Customer Success Manager

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

Legal Implementation Specialist

The role involves onboarding and implementing Luminance's AI technology for enterprise legal teams across a global client base. You will work closely with customers and Customer Success Managers to ensure smooth integration into existing contract management workflows. The position requires a strong understanding of legal processes and the ability to guide clients through technical implementation in diverse jurisdictions.

Luminance London, United Kingdom
Hybrid Permanent
Databricks logo

Lead Solutions Architect - Generative AI (EMEA Emerging DNB)

This role involves engaging with technical founders and engineering leaders at high-growth UK startups to position Databricks as the strategic data and AI platform of choice. The individual will lead technical thought leadership, shape architectural strategies for real-time data and AI workloads, and build influence within the startup and VC ecosystem. They will also mentor field engineers and create technical content around Generative AI, LLMs, and modern data architectures.

Databricks London, United Kingdom

Software Engineer, Platform Systems

Design and build distributed failure detection, tracing, and observability systems to ensure reliable, efficient training of large-scale AI models. Work closely with research and infrastructure teams to debug and optimize performance across custom supercomputing environments. Focus on low-level systems, hardware awareness, and real-time insights into complex distributed workloads.

OpenAI London, United Kingdom
Permanent
Databricks logo

Head of EMEA Financial Services GTM

Lead the go-to-market strategy for Databricks in EMEA Financial Services, focusing on Banking, Capital Markets, and Insurance. Drive executive engagement, develop scalable sales plays, and act as a thought leader through content and events. Collaborate across product, sales, marketing, and partners to grow revenue and expand market presence in a highly regulated sector.

Databricks 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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