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
473
Salary range
£45k – £148k
Hiring companies
91

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

473 live roles

See all 473 roles

Lead AI Researcher

The Lead AI Researcher will lead the development and deployment of cutting-edge deep learning systems for high-stakes defence and national security applications. This founding role involves solving ambiguous, mission-critical problems from concept to production, designing advanced AI models, and establishing engineering standards and tooling for a world-class team. Day-to-day work includes close collaboration with leadership to translate operational needs into technical solutions, training and deploying frontier models, and building robust ML infrastructure in a rigorous, security-conscious environment.

Kangal AI London, United Kingdom £100,000 – £200,000 pa
On-site Permanent

Platform Engineer

Design and deploy secure, scalable cloud infrastructure for AI and machine learning workflows using AWS and Azure. Enable data scientists and ML engineers through infrastructure-as-code, reusable libraries, and best practices. Work cross-functionally to solve complex technical challenges in life sciences and other sectors.

Faculty London, United Kingdom
Hybrid Permanent

Principal Machine Learning Engineer

This role involves leading the design and implementation of scalable, high-impact machine learning systems within complex enterprise and government environments, particularly in the defence sector. The Principal Machine Learning Engineer will act as a technical authority, shaping architectural direction, solving cross-project challenges, and mentoring engineering teams. Work includes strategic innovation, system integration, and hands-on technical leadership in ethical, real-world AI applications.

Faculty London, United Kingdom
Hybrid Permanent
OpenAI logo

Manager, AI Deployment Engineering - Large Enterprise

Lead and mentor a team of AI Deployment Engineers focused on delivering Generative AI solutions for strategic large enterprise customers across EMEA. Drive technical implementations from onboarding to production, acting as a trusted advisor and escalation point while shaping product roadmaps based on customer needs. Focus on safe, impactful deployment of cutting-edge AI models in areas like customer service and automated content generation.

OpenAI London, United Kingdom
Hybrid Permanent

Data Engineer

Design and build cloud-based data solutions integrating multiple sources, with a focus on Salesforce and marketing data. Develop ELT pipelines and support data-driven campaign activation. Contribute to AI and transformation projects in a high-impact analytics environment.

Datatech Covent Garden, London, WC2E 8RE, United Kingdom £50,000 pa
Wayve logo

Senior Machine Learning Engineer, AI Performance

This role involves taking machine learning models from training to production deployment, focusing on optimising model performance under strict runtime constraints such as latency, memory, and power. The engineer will apply techniques like quantisation and distillation, work closely with performance and inference teams, and ensure models meet on-vehicle deployment requirements. The position emphasizes hands-on iteration in PyTorch and cross-functional collaboration in a high-ownership environment.

Wayve London, United Kingdom
Hybrid Permanent

Marketing Operations Manager - Ai & Automation

This role involves building and leading AI-powered marketing operations from the ground up, using automation, predictive modelling, and intelligent customer journeys across multiple channels. The person will design AI-driven workflows, develop autonomous agents, and connect marketing initiatives directly to pipeline and revenue impact. They'll work across a portfolio of businesses to shape AI strategy, ensure governance, and drive innovation in customer engagement using data, automation, and emerging AI technologies.

The Portfolio Group London, United Kingdom

Manager_Associate Director - Project Management

This role involves leading project management for a multi-year osteoporosis drug discovery programme within a TechBio environment. You'll coordinate across interdisciplinary teams including wet lab biology, machine learning, and data science, translating scientific objectives into integrated delivery plans. The position requires managing cross-team dependencies, evolving workstreams, and governance processes in a discovery-stage R&D setting with high ambiguity and scientific complexity.

Relation Therapeutics London, United Kingdom
Permanent
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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