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Artificial Intelligence Jobs in London

The UK's tech capital, home to a thriving AI ecosystem. From startups to global giants, London offers a diverse range of opportunities in AI research and development.

Open roles
289
Salary range
£45k – £148k
Hiring companies
91
View 289 live roles → Get an alert

London is a global hub for artificial intelligence, boasting a vibrant ecosystem of startups, scaleups, and established tech giants. The city is home to a significant number of AI-focused companies, ranging from research-heavy startups to the larger consultancies and multinational corporations. The local AI scene is characterised by a blend of cutting-edge research, practical applications, and a strong emphasis on innovation. Whether you're working on machine learning models, natural language processing, or computer vision, London provides a dynamic environment for professionals at all levels.

Salary on the board

£45k – £148k

Based on advertised midpoints across the 96 priced listings posted in the last 12 months. Base salary only.

Salary visibility
24% of listings advertise a salary.
By seniority
£k base
Mid
45
145
24 jobs
Senior
51
125
32 jobs
Lead
76
160
9 jobs
Live jobs

289 live roles

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Amazon logo

AI/ML Team Manager, Artificial General Intelligence – Data Services

Lead a team focused on delivering high-quality labelled data for Alexa's speech and language machine learning systems. Manage daily operations, workflow prioritization, and team development within a global data services environment. Drive process improvements using lean methodologies while ensuring quality, productivity, and cross-team alignment.

Amazon London, United Kingdom
Hybrid Permanent

Research Engineer, RL Scaling Science

This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues that emerge at scale, and translate validated research findings directly into production training pipelines. The position sits at the intersection of research and systems engineering, requiring deep empirical rigor and close collaboration with both research and infrastructure teams.

Anthropic London, United Kingdom £375,000 – £640,000 pa

Senior Software Engineer, Inference

This role involves building and operating large-scale, distributed inference systems that serve Claude to millions of users globally. The engineer will work on intelligent request routing, fleet-wide orchestration across diverse AI accelerators, and high-performance deployment pipelines. The position emphasizes real-time adaptability, compute efficiency, and close collaboration with research teams to enable next-generation model development.

Anthropic London, United Kingdom £225,000 – £325,000 pa
Darktrace logo

Technical Success Manager - Enterprise Accounts

This role involves partnering with enterprise customers to ensure deep technical adoption of Darktrace’s AI-driven cybersecurity platform. The Technical Success Manager will guide security and IT teams in embedding the platform into daily operations, identifying high-value use cases, and proactively addressing technical risks. Success means accelerating time-to-value, improving customer health, and enabling renewals and expansion through trusted advisory relationships.

Darktrace London, UB8 1LQ, United Kingdom
Hybrid Permanent

AI Infrastructure Engineer, Serving Platform

Design and build scalable, fault-tolerant systems for serving large language models (LLMs) in both research and production environments. Develop internal platforms for LLM capability discovery and integration, with a focus on performance, observability, and system health. Collaborate closely with researchers and engineers to optimize model deployment and support cutting-edge AI applications.

Scale AI London, United Kingdom

Lead Learning Scientist

The role involves leading the development and application of learning science principles within AI-powered education systems, ensuring they are effective, safe, and grounded in evidence. You'll define best practices, design learning architectures, and evaluate impact across high-stakes projects like national infrastructure and AI tutoring. The position requires close collaboration with technical teams to translate pedagogy into buildable, scalable solutions.

Faculty London, United Kingdom
Permanent
Adecco logo

Research Scientist/Engineer - Multimodal AI & LLM

Research Scientist / Research Engineer - Multimodal AI & Large Language ModelsLocation: LondonSalary: £(phone number removed) per annum + permanent benefits + bonusJob Type: Permanent, Full-Time, On-siteAbout the OpportunityWe are partnering with an innovative research organisation at the forefront of...

Adecco London, United Kingdom
Databricks logo

Sr. Specialist Solutions Architect

This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on GenAI, MLOps, and LLMOps. The individual will guide enterprise customers through technical challenges, build MVPs, and lead deep-dive sessions during sales cycles. They will also contribute to product roadmaps, create technical content, and drive AI thought leadership through conferences and hackathons.

Databricks London, United Kingdom
Hybrid Permanent
See all 289 roles →
Roles hiring here

Roles hiring in London

The most-listed roles in this cluster right now. Tap through to a role profile when one exists, or to the live search results.

AI Engineer Jobs

£38k – £390k
51 open

Machine Learning Engineer Jobs

£39k – £630k
36 open

AI Solutions Architect Jobs

£90k – £135k
21 open

AI Research Scientist Jobs

£36k – £200k
20 open

Applied Scientist Jobs

Role profile
8 open

MLOps Engineer Jobs

£75k – £100k
5 open
Top hirers

Hiring here right now

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The scene

Hiring in London

London's AI job market is highly competitive, with a constant demand for skilled professionals. Companies are actively seeking individuals with strong backgrounds in machine learning, data science, and software engineering. The city's diverse industry landscape means that there are opportunities in both established corporations and innovative startups.

Networking plays a crucial role in the London AI scene. Attending industry meetups, conferences, and workshops can help you stay connected with the latest trends and potential job opportunities. Many companies also offer internships and graduate programmes, providing valuable entry points for early-career professionals.

FAQs

Common questions

  • Common roles include AI researchers, machine learning engineers, data scientists, and NLP specialists. The city also has a strong presence of AI product managers and consultants.

  • While many companies offer hybrid or remote options, a significant number of AI roles in London are on-site, particularly in research-heavy environments and large tech firms.

  • Key industries include finance, healthcare, retail, and tech. Startups and scaleups are also major employers, often focusing on niche AI applications.

  • For detailed salary information, refer to the salary section on this page, which is updated regularly with live job listings.

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