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
38
Salary range
£33k – £120k
Hiring companies
10

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

£33k – £120k

Based on advertised midpoints across the 4 priced listings posted in the last 12 months. Base salary only.

Salary visibility
10% of listings advertise a salary.
Live jobs

38 live roles

See all 38 roles
Isomorphic Labs logo

Research Leader (DMPK), Cambridge, MA

Leads DMPK strategy in drug discovery projects, integrating AI-first approaches to optimize ADME and toxicology models. Designs screening cascades and interprets DMPK, PD, and safety data to guide candidate selection. Collaborates with chemistry, pharmacology, and AI teams to advance molecules from hit identification to clinical development.

Isomorphic Labs Cambridge, United Kingdom

Python Developer - Security - Cambridge/London

Develop backend services and production-ready components using Python in a research-driven, security-focused environment. Collaborate with ML/AI researchers and SREs to translate prototypes into features, while contributing to CI/CD, containerisation, and cloud deployment workflows. Work in small, cross-functional teams with an emphasis on clean, testable code and clear communication during high-cadence development cycles.

Salt Search Cambridge, United Kingdom £55,000 pa

Graduate Technology & AI Engineer

This role involves identifying and implementing technology-driven improvements across business operations, with a focus on AI integration, automation, and internal software development. The engineer will collaborate across departments to understand workflows, diagnose inefficiencies, and build practical solutions using programming and emerging technologies. It's an entry-level position offering hands-on experience in real-world AI and software projects within a growing tech-focused organisation.

Coates Recruitment Orwell, Cambridgeshire, United Kingdom £30,000 – £36,000 pa
NVIDIA logo

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC workloads using NVIDIA's accelerated computing platform. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include hands-on technical engagement, driving research collaborations, delivering training, and translating research needs into product feedback for engineering teams.

NVIDIA 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

Machine Learning Engineer

Develop and deploy innovative machine learning models for real-world applications, from research through to production. Work in a multidisciplinary R&D team, rapidly prototyping and optimising solutions using cutting-edge techniques. Focus on solving complex technical problems with practical AI/ML implementations.

Hexwired Recruitment Limited Cambridge, Cambridgeshire, United Kingdom £60,000 – £120,000 pa

Infrastructure Team Lead

Lead the infrastructure team responsible for maintaining and improving systems that support AI research and development, including GPU clusters and internal engineering services. Drive technical strategy, operational stability, and team development through automation, infrastructure-as-code, and vendor management. Focus on reliability, scalability, and reducing operational toil in a Linux-based, distributed systems environment.

Speechmatics Cambridge, United Kingdom

Principal Machine Learning Engineer

A Principal Machine Learning Engineer will lead technical innovation in speech AI by developing and deploying advanced machine learning models, translating research into scalable production systems. The role involves mentoring engineers, shaping long-term ML strategy, and solving complex modelling challenges across the organisation. Work spans distributed training, inference optimisation, and MLOps best practices within a hybrid working environment.

Speechmatics Cambridge, United Kingdom
Roles hiring here

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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