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
279
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

279 live roles

See all 279 roles

Head of AI Solutions, COO Technology - MD C16 - Citi

Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your...

eFinancialCareers London, United Kingdom

VP Statistical Modelling Quant - Top tier investment bank - Eximius Finance

Quantitative Analyst – Treasury quants , LondonWe’re looking for an ambitious ALM Quantitative Analyst to join our QA Treasury team in London, supporting Treasury Finance in managing Interest Rate Risk. In this role, you will develop sophisticated statistical models to...

eFinancialCareers London, United Kingdom

AI Practice Lead

This role involves leading the strategic development and delivery of AI transformation programmes for enterprise clients across BFSI, Energy, Utilities, and Diversified Industries. The AI Practice Lead will define AI strategies, develop market-ready offerings, and provide technical leadership across Generative AI, LLMs, RAG, and enterprise data platforms. They will mentor cross-functional teams, drive innovation, and ensure high-impact outcomes through hands-on architectural guidance and governance of complex AI initiatives.

Expleo London, United Kingdom
Hybrid Permanent
Isomorphic Labs logo

Bioanalytical Lead, London

Lead the development and execution of bioanalytical strategies for AI-designed therapeutics across small molecules, biologics, and ADCs. Bridge computational discovery with wet-lab validation by designing robust assays, managing global CROs, and integrating data into AI models. Play a key role in IND-enabling studies and cross-functional preclinical teams.

Isomorphic Labs London, United Kingdom
Hybrid Permanent
Amazon logo

Data Centre Operations Manager , LHR Data Center Operations (DCO)

This role involves managing the full lifecycle of data center infrastructure, from rack installation to decommissioning, while leading technical teams in a high-performance environment. The manager will drive operational excellence by leveraging emerging technologies like generative AI and automation, adopting new methods for high-density AI/ML workloads, and improving processes across incident, change, and capacity management. Close collaboration with internal teams and external vendors is required to ensure safe, reliable, and scalable operations across both existing and newly built data centers.

Amazon London, United Kingdom
On-site Permanent
Wayve logo

Solutions Architect

This role involves defining and managing the technical architecture for integrating Wayve’s AI-driven autonomous driving software with automotive OEM vehicle platforms. The Solutions Architect will act as a bridge between internal teams and external partners, clarifying interface contracts, ownership boundaries, and system-level requirements across sensors, vehicle signals, middleware, and safety assumptions. The position emphasizes translating ambiguous customer needs into verifiable technical specifications while maintaining alignment with Wayve’s core AI Driver architecture.

Wayve London, United Kingdom
Hybrid Permanent

Technical Talent Pool

This is an open application for a technical talent pool at Faculty, a company focused on responsible AI development and deployment. The role invites engineers, data scientists, and DevOps professionals to submit their CVs for future opportunities. Work involves building impactful AI solutions across sectors such as government, finance, and life sciences, with a strong emphasis on innovation, diversity, and ethical technology.

Faculty London, United Kingdom
Permanent
Amazon logo

AI Language Engineer II, Alexa for Shopping Lang-Tech

This role involves developing and optimizing AI-driven shopping experiences by authoring and managing system prompts, building LLM-as-a-judge evaluation systems, and automating data workflows. The engineer will work cross-functionally to improve model performance, define tooling requirements through prototyping, and ensure high linguistic and editorial quality across customer-facing applications. A strong focus is placed on retrieval-augmented generation, prompt engineering, and scalable data processing in the context of agentic systems.

Amazon London, United Kingdom
Hybrid 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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