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
457
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

457 live roles

See all 457 roles

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems at scale. You'll design service level objectives, build observability tooling, lead incident response, and collaborate across teams to strengthen critical infrastructure paths—from API layers to accelerators. The position demands a systems-thinking engineer passionate about robustness, safety, and cross-team partnership in high-stakes AI environments.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Staff+ Software Engineer, Account Compromise

This role involves leading the technical strategy and architecture for detecting, containing, and remediating account compromise across Claude and its developer platform. The engineer will design real-time detection systems for account takeovers, credential abuse, and API key leaks, while balancing security with user experience. They will lead incident investigations, drive cross-team alignment, and build automated defences that operate under adversarial pressure, shaping Anthropic’s global approach to account security.

Anthropic London, United Kingdom
Hybrid Permanent
Wayve logo

Machine Learning Engineer, ADAS

Train and improve computer vision and 3D perception models for ADAS systems, working across the full ML lifecycle from data to deployment. Build scalable data pipelines, including auto-labelling and 3D reconstruction, to enhance model performance. Focus on real-world impact with a balance of online (in-car) and offline (data generation) work in a fast-paced, product-driven environment.

Wayve London, United Kingdom
Hybrid Permanent

Senior/Research Assistant, Genomics

Perform end-to-end single-cell RNA-seq and ATAC-seq library preparation, contributing to large-scale perturbation studies with automated high-throughput platforms. Collaborate closely with computational and automation teams to generate ML-ready sequencing data, ensuring rigorous sample tracking, protocol development, and integration of wet-lab workflows into scalable systems. Support robust experimental design and data quality for downstream machine learning applications in functional genomics.

Relation Therapeutics London, United Kingdom
On-site Permanent

AI Software Engineer - eDV Cleared

Design and develop AI-driven software solutions for national security applications, working within secure environments and collaborating with government stakeholders. Focus on delivering robust, scalable systems using modern software engineering practices. The role involves frequent travel to client sites across the UK.

Searchability NS&D London, United Kingdom £65,000 – £100,000 pa
Hybrid Permanent Clearance Required

Data Scientist – Computational Genomics, 12-month

This role involves applying and developing machine learning and statistical models to analyse large-scale genomics, transcriptomics, and multi-omics datasets for target identification and validation in drug discovery. The Data Scientist will work at the intersection of computational genomics and ML, integrating human genetics data with functional omics to uncover disease mechanisms. Collaboration with experimental and machine learning teams is central, with an emphasis on reproducible workflows, hypothesis validation, and clear communication of insights.

Relation Therapeutics London, United Kingdom
On-site Permanent

TypeScript Software Engineer

This role involves building a modern FinTech SaaS platform from the ground up using TypeScript, Node.js, and React within a cloud-native, AI-first engineering environment. You'll work across the full stack to develop scalable microservices and contribute to architectural decisions in a collaborative team setting. The role emphasizes innovation through AI-assisted development and modern cloud practices on AWS and Azure.

Noir London, United Kingdom £40,000 – £65,000 pa
Hybrid Permanent

Senior Product Designer - Defence

Lead the design of bespoke, AI-native solutions for high-stakes defence clients, shaping intuitive user interfaces from concept to delivery. Conduct user research, develop wireframes and prototypes, and evolve design systems in collaboration with ML engineers and data scientists. Operate at the strategic level, influencing product direction and driving design excellence across the organisation.

Faculty London, United Kingdom
Hybrid Permanent Clearance Required
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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