Machine Learning Jobs in Cambridge

Open roles
24
Salary range
£37k – £144k
Hiring companies
9
Salary on the board

£37k – £144k

Based on advertised midpoints across the 5 priced listings posted in the last 12 months. Base salary only.

Salary visibility
21% of listings advertise a salary.
Live jobs

24 live roles

See all 24 roles
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 scientists to refine predictive models, guide programs from hit identification to candidate selection, and manage external research partners. The role emphasizes innovation in structure-based and fragment-based design within a dynamic, interdisciplinary environment.

Isomorphic Labs Cambridge, United Kingdom

AI-Native Software Engineer

Build AI-native cloud applications using agentic AI development tools, owning projects from concept to deployment. Collaborate with engineers and AI specialists to shape AI-first engineering practices. Focus on solving complex technical problems and improving software development workflows through AI.

Pure Resourcing Solutions Cambridge, United Kingdom £90,000 – £120,000 pa

Machine Learning Engineer

Design and develop advanced AI/ML solutions from concept to deployment within a multidisciplinary R&D team. Focus on prototyping, model training, and applying cutting-edge techniques from research. Work spans diverse real-world applications requiring strong analytical and technical skills.

Hexwired Recruitment Limited Cambridge, Cambridgeshire, United Kingdom £60,000 – £120,000 pa
On-site Permanent
NVIDIA logo

Senior CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to develop next-generation compiler toolchains. Analyze real-world AI and HPC applications to drive improvements in both hardware and software stacks.

NVIDIA Cambridge, 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, rapidly prototyping and deploying models into functional hardware systems. The role emphasizes innovation, rapid iteration, 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
Amazon logo

Applied Scientist, Silicon and Systems Group Edge AI

This role involves developing and validating novel evaluation methods for multimodal language models and agents, with a focus on perception tasks like audio and vision. The scientist will analyze large datasets to identify model gaps, interpret failures, and collaborate with training teams to improve model performance. Work is centered on advancing hardware-software integration for efficient on-device AI in Amazon's consumer products.

Amazon Cambridge, United Kingdom
Hybrid Permanent
ECM Selection logo

Graduate Software Engineer

Software engineering at the frontier of AI and defenceThis team is motivated by saving lives in war affected regions and on the battlefield. They believe that by combining advanced technologies from different sectors they can fundamentally change the effectiveness of...

ECM Selection Cambridge, Cambridgeshire, United Kingdom £35,000 – £40,000 pa
Healx logo

Agentic AI Engineer (life sciences)

This role involves designing and building LLM-powered agentic workflows that assist drug discovery scientists in generating testable therapeutic hypotheses for rare diseases. The engineer will work cross-functionally to integrate AI agents with a knowledge graph, scientific literature, and proprietary methods, refining systems that reason over complex biomedical data. Success includes owning workflows from concept to production, with a focus on reliable, evaluable, and maintainable agent design in a fast-moving AI landscape.

Healx Cambridge, United Kingdom
Hybrid Permanent
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