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
706
Salary range
£30k – £300k
Hiring companies
92

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

£30k – £300k

Based on advertised midpoints across the 136 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
30
45
3 jobs
Junior
38
40
1 job
Mid
30
160
40 jobs
Senior
40
300
56 jobs
Lead
60
240
24 jobs
Director
100
209
5 jobs
Live jobs

706 live roles

See all 706 roles
Wayve logo

Senior Platform Engineer

As a Platform Engineer, you will own and evolve the cloud infrastructure and developer tooling for Wayve's Portal team. Your responsibilities include designing and maintaining cloud infrastructure, RBAC/IAM, CI/CD pipelines, and Kubernetes-based deployment workflows, while also supporting application developers and contributing to on-call rotations.

Wayve London, United Kingdom
Hybrid Permanent
Wayve logo

Staff Data Platform Engineer

As a Staff Data Platform Engineer, you will lead the design and implementation of Wayve's Data Transfer Hub, a mission-critical system that ingests petabytes of sensor data daily from global partners. You'll work with teams like Uber and Nissan to build a globally distributed, highly reliable data transfer pipeline using technologies like Flyte, Kafka, and Azure, while ensuring scalability, cost-efficiency, and operational excellence.

Wayve London, United Kingdom
On-site Permanent
Darktrace logo

Solutions Engineer - London

As a Solutions Engineer at Darktrace, you will provide technical pre-sales and post-sales support, partnering with sales teams to meet customer needs and drive revenue growth. You will present threat intelligence reports, design custom client integrations, and become a trusted advisor on Darktrace's cutting-edge cybersecurity solutions.

Darktrace London, UB8 1LQ, United Kingdom
On-site Permanent
OpenAI logo

Manager, AI Deployment Engineering - Codex

This role involves leading a team of AI Deployment Engineers to drive successful Codex adoption across strategic customers. Responsibilities include managing the operating model, guiding AI-enhanced workflow design, and partnering with cross-functional teams to ensure reliable and scalable AI-powered software development.

OpenAI London, United Kingdom
Hybrid Permanent
Amazon logo

AI Language Engineer II , Artificial General Intelligence - Data Services

This role involves designing and conducting complex data creation tasks using synthetic and model-based methods, as well as coordinating human-in-the-loop data collections. You will work closely with cross-functional teams to ensure the AI systems are best in class, using Python and other tools for data analysis and creation.

Amazon London, United Kingdom
On-site Permanent
Amazon logo

AI Data Associate - Dutch, Artificial General Intelligence

The role involves maintaining strict confidentiality, working with various data types (text, speech, image, video), and delivering high-quality labelled data using in-house tools. You will contribute to improving Alexa's performance by evaluating and annotating data, while also supporting daily operations and process improvements.

Amazon London, United Kingdom
On-site Permanent
Synthesia logo

Frontend Engineer, Growth

This role involves owning and shipping high-impact experiments and features that directly influence activation, conversion, and revenue metrics. You will work full-stack across the Growth surface, including activation flows, onboarding, pricing mechanics, and viral loops, while building and extending the team's experimentation platform. Collaboration with product managers and data analysts is key to prioritizing high-leverage work and translating business problems into technical solutions.

Synthesia London, United Kingdom £50,000 pa
Remote Permanent
PhysicsX logo

Data Scientist

As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and designing scalable data pipelines. You will also travel to customer sites globally to collaborate on-site and ensure the practical application of AI models.

PhysicsX London, United Kingdom
Hybrid 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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