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.
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.
Based on advertised midpoints across the 78 UK listings priced in pounds in the last 12 months. Base salary only.
As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
This role involves configuring, integrating, and operating AI platforms and services, ensuring they are secure, scalable, and reliable. You'll work closely with AI specialists, data scientists, and security teams to establish reusable environments, deployment processes, and monitoring systems.
This role involves building an AI-native People function, focusing on scalable foundations for internal operations, including HR systems, automation, and data flows. The People Product Lead will define the long-term vision and roadmap, align with stakeholders, and drive measurable impact through technology and process improvements.
This role involves designing and building an MCP gateway to enable AI agents and LLMs to securely interact with an existing AWS-hosted microservices platform. Responsibilities include developing secure integrations, scalable solutions, and AI-driven workflows, with significant technical ownership and architectural input.
This role involves hands-on development of machine learning and language model workflows, integrating with various providers, and building robust retrieval systems. You will work on cost optimization, data privacy, and continuous improvement of the system's performance and reliability.
This role involves designing and building automated test solutions for embedded and connected hardware platforms used in operating rooms. Responsibilities include developing test frameworks, collaborating with engineering teams, and ensuring the reliability and performance of device software and firmware. The position focuses on testing device software, firmware integrations, and hardware-software interactions.
This role involves building and deploying AI solutions within the Microsoft ecosystem, focusing on Azure AI, Copilot, and enterprise integrations. You'll work hands-on to develop, test, and maintain AI applications, ensuring they are secure, reliable, and add value to the business.
This role involves working closely with customers to build and productionize data and AI solutions using the Databricks platform. Responsibilities include leading architecture and design decisions, implementing end-to-end systems, and guiding strategic big data projects. The role requires strong technical skills in data engineering, cloud ecosystems, and MLOps, with a focus on delivering measurable business impact.
The most-listed roles in this cluster right now. Tap through to a role profile when one exists, or to the live search results.
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.
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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