Machine Learning Jobs in Cambridge

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£44k – £120k

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£44k – £120k

Based on advertised midpoints across the 3 priced listings posted in the last 12 months. Base salary only.

Salary visibility: 12% of listings advertise a salary.

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Python Developer - Security - Cambridge/London

Develop and maintain Python-based backend services and production-ready components in a research-driven, security-focused environment. Collaborate with ML/AI researchers and SREs to transition prototypes into scalable systems, with involvement in CI/CD, containerisation, and cloud deployment. Work in a high-cadence, cross-functional team environment emphasising clean, testable code and clear communication of technical trade-offs.

Salt Search Cambridge, United Kingdom £55,000 pa

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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 initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will drive adoption of NVIDIA technologies by integrating frameworks into large-scale research projects, supporting publications, and delivering technical training. Key responsibilities include prototyping solutions, mentoring researchers, and providing feedback to engineering teams based on emerging trends in LLMs and open models.

NVIDIA Cambridge, United Kingdom

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

This role involves leading drug discovery programs using AI-first approaches, combining computational chemistry expertise with machine learning to accelerate the design of novel therapeutics. The candidate will guide projects from initiation to candidate selection, collaborate across disciplines, and help shape the evolution of Isomorphic Labs' AI platform. Opportunities exist for both scientific leadership and people management, with a focus on innovation in molecular design and strategic problem-solving.

Isomorphic Labs Cambridge, United Kingdom

Director, Translational Medicine, Oncology, Cambridge, MA

Lead the development and execution of translational medicine strategies for oncology programs, integrating AI-driven insights to inform clinical trial design and biomarker development. Drive cross-functional collaboration across drug discovery, computational biology, and clinical teams to advance novel therapies from preclinical stages through clinical proof of concept. Pioneer innovative diagnostic approaches and leverage multi-omic datasets to validate mechanisms of action and resistance in cancer therapies.

Isomorphic Labs Cambridge, United Kingdom

Infrastructure Team Lead

Lead and develop a team of infrastructure engineers while driving technical strategy for systems supporting AI research and development. Focus on operational stability, automation, and infrastructure-as-code across bare metal GPU clusters, virtualized environments, and Kubernetes. Own incident response, capacity planning, and vendor relationships while fostering engineering growth through coaching and career development.

Speechmatics Cambridge, United Kingdom

Principal Machine Learning Engineer

Develop and deploy advanced speech recognition models, translating research into scalable production systems. Lead technical innovation, mentor engineers, and shape the long-term ML vision. Work across the full stack of model development, optimisation, and deployment using state-of-the-art techniques in transformers, distributed training, and inference efficiency.

Speechmatics Cambridge, United Kingdom

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on NVIDIA's next-generation GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance compiler frameworks and enable high-performance AI deployment at scale. Work spans MLIR-based tooling, deep learning performance, and datacenter-scale optimization.

NVIDIA 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

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