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
37
Salary range
£34k – £88k
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

£34k – £88k

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

37 live roles

See all 37 roles →
University of Cambridge logo

Postdoctoral Research Associate in Agentic AI for Cancer Care

4 days ago

University of Cambridge Cambridge £33,662 – £46,970 pa

Lead a workstream within the IMPACT-OC European consortium, building a multi-agent AI system for ovarian cancer that spans imaging, genomics, histopathology and clinical records with privacy-preserving federated learning. The role is jointly based in the Department of Radiology and the Early Cancer Institute, combining multimodal AI pipelines, digital twin technology and clinician-facing deployment across eight partner institutions.

Contract Clearance Required

Bioinformatics

Last week

Reed Cambridge

Lead statistical and bioinformatics analysis projects, developing computational algorithms and applying machine learning to functional genomics research. Work with NGS, OMICS and high-throughput datasets alongside laboratory scientists, using Python, R or Julia and libraries such as TensorFlow and PyTorch. The role also involves mentoring and cross-functional collaboration in a multidisciplinary research team.

On-site Permanent

Head of AI Engineering & Delivery - Agentic AI, Degree

2 weeks ago

Adecco Cambridge

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures across Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

Hybrid
University of Cambridge logo

University Assistant/Associate Professor in Artificial Intelligence and Machine Learning

Last week

University of Cambridge Cambridge £63,606 – £67,468 pa

The role involves contributing to research and teaching in artificial intelligence and machine learning, with a focus on fundamental ML, novel models and architectures. The appointee will develop graduate content for the MPhil in Advanced Computer Science, contribute to undergraduate teaching, and build a research team supported by external funding.

Permanent

Head of AI Engineering & Delivery - Agentic AI, Degree

2 weeks ago

Adecco Cambridge

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures on Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

Hybrid

Senior AI Systems Administrator

2 weeks ago

Pure Resourcing Solutions Cambridge £80,000 – £100,000 pa

Provisioning and running multi-rack GPU clusters for training and inference at a not-for-profit AI organisation, covering hardware, fabric and orchestration. The role spans high-performance networking (InfiniBand, RDMA, RoCE), advanced Linux across Ubuntu and RHEL, virtualisation, and infrastructure-as-code with Git and Terraform/OpenTofu, working closely with researchers and engineers.

Senior Machine Learning Researcher

2 weeks ago

Darktrace Cambridge

Conducts independent and collaborative research across large language models, statistical methods and classical machine learning, prototyping ideas and implementing models into the wider software stack. Produces optimised solutions for latency and memory, including deployment on edge devices, working closely with software engineers and security analysts.

Hybrid

Detection Engineer

Last week

Darktrace Cambridge

Join a global team continuously developing and improving threat detection capabilities across key product areas. You'll respond to customer incidents, analyse cyber threat intelligence, and expand detection schemes aligned to adversary techniques, collaborating with Development, Security Research and SOC teams.

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.

Hiring in this cluster?

Post your role in 90 seconds and reach the specialist audience that already reads this page.