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 – £149k
Hiring companies
94

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 – £149k

Based on advertised midpoints across the 104 priced listings posted in the last 12 months. Base salary only.

Salary visibility
26% of listings advertise a salary.
By seniority
£k base
Mid
45
145
27 jobs
Senior
52
124
33 jobs
Lead
76
160
9 jobs
Live jobs

473 live roles

See all 473 roles

MLOps Platform Developer / Full-Stack AI Engineer

This role involves end-to-end ownership of a full-stack engineering platform integrating AI, real-time telemetry, and building management systems. You'll operate and evolve an LLM serving stack with fine-tuning pipelines, maintain a React/TypeScript frontend with offline-first mobile capabilities, and manage large-scale PostgreSQL databases and MQTT-based data ingestion from IoT systems. The position combines MLOps, full-stack development, and domain-specific engineering intelligence in the context of energy transition infrastructure.

Anonymous London, United Kingdom
AI Security Institute logo

Research Scientist (Virologist), Chem-Bio

This role involves designing and interpreting technical evaluations of AI systems with biological capabilities, focusing on virology and biosecurity risks. The Research Scientist will translate complex scientific questions into rigorous empirical assessments, evaluate model outputs for biological plausibility, and communicate findings to government decision-makers. The position sits at the intersection of AI safety, virology, and policy, requiring deep technical expertise and discretion in handling dual-use research.

AI Security Institute London, United Kingdom

IT Support Engineer

This role involves providing hands-on IT support across a primarily macOS environment, resolving technical issues in hardware, software, networking, and accounts. The engineer will triage tickets, automate repetitive tasks using Bash or Python, improve onboarding at scale, and collaborate with IT Engineering and Security teams. Emphasis is placed on problem ownership, process improvement, and using automation—including AI tools like Claude—to enhance efficiency and employee experience.

Anthropic London, United Kingdom £130,000 – £175,000 pa
Genomics England logo

Genomic Data Scientist - (we have office locations in Cambridge, Leeds & London)

This role involves conducting advanced genomic and multi-omics data analysis to support research into rare and complex diseases, leveraging large-scale datasets within a secure research environment. The scientist will develop and optimise bioinformatics pipelines, perform genetic association studies, and collaborate with multidisciplinary teams to deliver insights for drug discovery, diagnostics, and patient stratification. A key focus is on applying cutting-edge computational methods to real-world healthcare challenges using whole genome sequencing and other omics data.

Genomics England Canary Wharf, London, E14 5AB, United Kingdom £56,000 – £67,000 pa
AI Security Institute logo

Research Scientist (Biological Models), Chem-Bio

This role involves conducting empirical research into the capabilities of specialised biological AI models, particularly in protein design and genomics, to assess their potential for misuse. The researcher will design experiments to evaluate in-silico predictions against real-world biological outcomes, test the effectiveness of technical safeguards, and translate findings into actionable insights for government and policy stakeholders. Work spans machine learning, computational biology, and biosecurity, requiring close collaboration with wet-lab scientists, AI developers, and security experts.

AI Security Institute London, United Kingdom

Treasury AI Engineering Lead - NatWest Group

The role involves leading the adoption of Generative AI and machine learning in Treasury operations, focusing on liquidity forecasting, capital optimisation, and risk management. You'll design and deliver AI solutions, migrate systems to secure cloud environments, and promote responsible AI practices while mentoring engineers and shaping technical strategy. The position requires strong leadership in AI engineering, collaboration with stakeholders, and oversight of data governance and scalable architecture.

eFinancialCareers London, United Kingdom

Principal AI Data Engineer

Design and deploy AI agents and generative AI applications using frameworks like LangChain, AutoGen, and Databricks Mosaic AI. Build scalable data workflows and RAG solutions for commercial trading teams, integrating prompt engineering and embedding models. Apply DevOps practices to deliver production-grade AI systems on Azure and Databricks platforms.

Tatton Recruitment South Bank, London, SE1 9PZ, United Kingdom £750 – £800 pd

Senior Data Scientist (Single Cell)

This role involves developing and maintaining scalable data pipelines for single-cell multi-omics data, integrating transcriptomics, chromatin accessibility, proteomics, and imaging to build multimodal datasets for machine learning. The Senior Data Scientist will work closely with wet lab scientists and ML teams to design experiments, evaluate biological relevance of models, and drive insights into cellular decision-making. The position emphasizes advanced computational analysis, interdisciplinary collaboration, and the use of modern ML tooling in a high-impact drug discovery environment.

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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