Artificial Intelligence Jobs in Cambridge

Cambridge is a global hub for AI research and development, home to leading universities, research institutions, and innovative tech companies.

Open roles
39
Salary range
£48k – £114k
Hiring companies
11

Cambridge is renowned for its world-class academic institutions, including the University of Cambridge, which has a strong focus on AI and machine learning. The city is a magnet for both established tech giants and cutting-edge startups, creating a vibrant ecosystem where theoretical research meets practical application. Companies ranging from scaleups to the larger consultancies are actively hiring AI specialists, making Cambridge a prime location for those looking to advance their careers in this field.

Salary on the board

£48k – £114k

Based on advertised midpoints across the 7 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
18% of listings advertise a salary.
Live jobs

39 live roles

See all 39 roles →

Foundation Model Engineer

Design and implement end-to-end LLM training pipelines, fine-tune open-weight models, and optimise for performance, cost, and scalability. Develop evaluation frameworks and data workflows while experimenting with modern AI tooling. Work across the full AI lifecycle in a mission-driven environment focused on responsible AI development.

Pure Resourcing Solutions Cambridge, Cambridgeshire, United Kingdom £90,000 – £110,000 pa

ML Data & Platform Engineer

This role focuses on building and maintaining scalable data pipelines and ML infrastructure for training and serving speech AI models. You'll work across the full stack—from data ingestion and web scraping to model deployment and observability—ensuring high-quality, reliable data flows and efficient training workflows. The position emphasizes end-to-end ownership of MLOps systems within a distributed, cross-functional ML team.

Speechmatics Cambridge, United Kingdom
Isomorphic Labs logo

Research Leader / Senior Scientist (Computational Drug Design), Cambridge, MA

This role involves leading drug discovery programs using AI-driven computational chemistry, either as a Program Lead or Computational Chemistry Lead. You'll shape Isomorphic Labs' AI platform by integrating cutting-edge machine learning into cheminformatics workflows, guide projects from hit identification to candidate selection, and collaborate across disciplines. The position emphasizes scientific leadership, technical innovation, and mentorship within a culture focused on transforming drug discovery through AI.

Isomorphic Labs Cambridge, United Kingdom
Hybrid Permanent
Isomorphic Labs logo

Associate Director, Translational Medicine, Oncology, Cambridge, MA

Lead the development and execution of translational medicine strategies for oncology programs, integrating AI-driven insights to advance drug discovery from preclinical to clinical stages. Serve as a cancer biology expert, guiding biomarker and companion diagnostic development while collaborating across multidisciplinary teams. Shape clinical trial design and regulatory submissions with a focus on mechanism of action, drug resistance, and novel therapeutic combinations.

Isomorphic Labs Cambridge, United Kingdom

Product Manager - NDR

This role involves shaping the Network Detection and Response (NDR) product within Darktrace’s AI-driven cybersecurity platform. The Product Manager will bridge customer needs, technical development, and go-to-market strategy, working closely with R&D, marketing, and sales teams. Key responsibilities include defining product direction, validating features, and ensuring effective internal and external communication of product capabilities.

Darktrace Cambridge, CB2 3BJ, United Kingdom
Hybrid Permanent

Site Reliability Engineer

The role involves deep expertise in a specific reliability domain such as observability, performance engineering, or security-focused SRE, with responsibility for defining standards, building automation, and improving system resilience across a cloud-native platform. The engineer will lead incident response, develop tooling for scalability, and integrate reliability practices across Platform Engineering and DevSecOps. Emphasis is placed on cross-team collaboration, operational excellence, and driving long-term fixes for complex systemic issues.

Darktrace Cambridge, CB2 3BJ, United Kingdom
Hybrid Permanent

Applications Engineer

The Applications Engineer role at Luminance involves designing and developing web-based applications that leverage AI technology for legal use cases. The team uses a modern tech stack, and candidates can specialize in UI, backend, or a mix of both. The role is open to both graduates and senior candidates with relevant experience.

Luminance Cambridge, United Kingdom
Hybrid Permanent

AI Engineering Intern

This internship offers hands-on experience working in a software engineering team at a fast-growing AI company. You will collaborate closely with experienced engineers, contribute to real projects, and receive mentorship throughout the 8-week program.

Luminance Cambridge, United Kingdom
Hybrid
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Roles hiring in Cambridge

The most-listed roles in this cluster right now. Tap through to a role profile when one exists, or to the live search results.

The scene

Hiring in Cambridge

Cambridge's AI ecosystem is characterised by a strong collaboration between academia and industry. The University of Cambridge and its affiliated research centres are at the forefront of AI innovation, often partnering with tech companies to push the boundaries of what's possible.

The city's tech scene is diverse, with a mix of startups and established firms. Scaleups and research-heavy startups are particularly active, offering opportunities for early-career professionals to grow and contribute to groundbreaking projects. Larger consultancies also have a significant presence, providing a range of roles from pure research to applied AI solutions.

FAQs

Common questions

  • Common roles include AI researchers, machine learning engineers, data scientists, and NLP specialists. Many positions also involve interdisciplinary work with fields like robotics and computer vision.

  • While many companies in Cambridge offer on-site positions, there is a growing trend towards hybrid and remote work, especially in tech-heavy roles. This flexibility can vary by company.

  • Key industries include academia, healthcare, finance, and automotive. Leading universities, research institutions, and tech companies are major employers in the AI space.

  • The AI job market in Cambridge is highly competitive, with a concentration of top talent and a high demand for skilled professionals. Networking and continuous learning are crucial for standing out.

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