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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
£37k – £148k
Hiring companies
8
View 38 live roles → Get an alert

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

£37k – £148k

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

Salary visibility
11% of listings advertise a salary.
Live jobs

38 live roles

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NVIDIA logo

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on next-generation NVIDIA GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance AI performance and scale across datacenters. Work at the forefront of compiler innovation for deep learning and AI architectures.

NVIDIA Cambridge, United Kingdom
Isomorphic Labs logo

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

Lead or contribute to drug discovery projects by integrating medicinal chemistry expertise with AI-driven platforms. Collaborate closely with machine learning teams to refine predictive models and drive programs from hit identification to candidate selection. Play a key role in shaping next-generation drug design through innovation in structure-based and fragment-based approaches, while mentoring teams and managing external research partners.

Isomorphic Labs Cambridge, United Kingdom
Hybrid Permanent
NVIDIA logo

Senior Network Solution Architect

This role involves designing and delivering end-to-end networking solutions that integrate NVIDIA GPUs and networking technologies for cloud, AI, HPC, and enterprise customers. The architect will define reference architectures, lead technical pre-sales engagements, respond to RFPs, conduct product demonstrations, and provide technical leadership during complex deployments. Close collaboration with sales, engineering, and product marketing teams ensures customer requirements inform product development and strategy.

NVIDIA Cambridge, United Kingdom
Darktrace logo

Threat Research Analyst

The role involves in-depth analysis of cyber threats, malware, and adversary TTPs using data science and analytical techniques. You'll proactively hunt for emerging threats, develop detection methodologies, produce threat intelligence reports, and collaborate with research and product teams. The position emphasizes turning complex data into actionable insights and contributing to public-facing research and conferences.

Darktrace Cambridge, CB2 3BJ, United Kingdom
Darktrace logo

Machine Learning Researcher

Conducts machine learning research to advance Darktrace's AI-driven cybersecurity platform, prototyping new models and integrating them into production systems. Works across research, engineering, and security teams to solve novel problems using language models, neural networks, and statistical methods. Focuses on developing optimised, deployable ML solutions for diverse environments including edge devices.

Darktrace Cambridge, CB2 3BJ, United Kingdom
ECM Selection logo

Machine Learning Engineer

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

ECM Selection Cambridge, Cambridgeshire, United Kingdom £40,000 – £70,000 pa
On-site Permanent Clearance Required
ECM Selection logo

Graduate Software Engineer

This role involves developing advanced software systems that integrate computer vision, adaptive AI, and sensor technologies to detect and track drones in dynamic combat environments. You'll work across the full stack—from cloud platforms to low-power embedded systems—on applications that have direct real-world impact in defence and security. The role offers mentorship from multidisciplinary engineers in a small, mission-driven team.

ECM Selection Cambridge, Cambridgeshire, United Kingdom £35,000 – £40,000 pa
On-site Permanent Clearance Required

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.

Platform Recruitment Cambridge, Cambridgeshire, United Kingdom £85,000 – £160,000 pa
On-site Permanent
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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.

Machine Learning Engineer Jobs

£40k – £160k
5 open

AI Engineer Jobs

£90k – £120k
3 open

Computer Vision Engineer Jobs

£85k – £160k
1 open

AI Research Scientist Jobs

Role profile
1 open

AI Solutions Architect Jobs

Role profile
1 open
Top hirers

Hiring here right now

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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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