18 of 18 Machine Learning Jobs in Cambridge

summary Postdoctoral Researcher in Machine Learning analysis of Magnetic Resonance Imaging (MRI) Applications are invited for an enthusiastic and motivated Post-doctoral Researcher to join the Lysosomal Disorders Unit at Cambridge University Hospitals NHS Foundation Trust. The post (Band 7) is funded by an award from industry … years. The successful applicant will work as part of a team of clinical and imaging specialists. The ethically-approved award is to develop a machine-learning technique to simulate quantitative Dixon fat/water images from a database of traditional T1 and T2-weighted MR images of muscle. ...

Machine Learning Researcher (PhD Statistics Python AI R&D) Cambridge/WFH to £85k Are you a tech savvy, PhD educated, Machine Learning Researcher looking for an opportunity to work on complex and interesting systems at the cutting edge … technology? You could be progressing your career working on real-world problems within a high successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning. As a Machine Learning Researcher you will ...

both theoretically rigorous and scalable to real-world complexity . The team’s work directly impacts customer challenges and contributes to the wider ML community — with 75+ papers published and 10 patents filed in the last four years . What You’ll Be Doing Develop and lead your own research … Collaborate with colleagues to meet research goals and communicate findings internally and externally Contribute to product development and customer research projects, applying cutting-edge ML to real-world problems Take an active role in developing and maintaining open-source libraries such as Trieste, GPflow, and GPflux What We’re Looking ...

developing data-efficient machine learning solutions for complex engineering and optimisation problems. This is an opportunity to join a highly research-driven ML lab, working on probabilistic modelling, Bayesian optimisation and decision-making methods, with a strong emphasis on theoretical rigour and real-world impact. The team regularly … publishes at top-tier machine learning conferences and contributes to open-source ML libraries. The Role You'll conduct original research in areas such as probabilistic models, active learning and Bayesian optimisation, while collaborating closely with other researchers and applied teams. The role blends academic-quality research ...

research, design and deploy cutting-edge machine learning systems. Projects span early-stage research through to working prototypes, covering the full ML lifecycle - from data preparation and rapid prototyping to model development, evaluation and deployment. This is a hands-on role for someone who enjoys tackling novel, technically … challenging problems and applying ML in real-world or constrained environments. About You Degree (2:1 or above) in Computer Science, Engineering, Physics, Maths or similar Strong Python skills Experience with ML frameworks such as PyTorch, TensorFlow and/or JAX Exposure to applying ML in novel domains or resource ...

Title: AI/ML Engineer – Data Science Location: United Kingdom (Remote/Hybrid) Eligibility: Permanent UK Citizenship required Experience: 5–7 years (Mandatory in Data Science/AI-ML) Role Overview We are seeking a skilled AI/ML Engineer – Data Science to design, develop, and deploy scalable machine … Responsibilities - Design, build, and optimize machine learning and deep learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability ...

Senior Machine Learning Engineer - Agentic AI Platform Location: Central Cambridge (Hybrid) | Permanent | In partnership with Robert Half The Opportunity Join a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. This hands-on role focuses on scaling, hardening, and refining a graph-based ...

driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam … above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high-stakes data environments Skills in experimentation and statistical analysis (A/B testing ...

languages such as Python, Java, Go or Rust; experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes). Familiarity with AI/ML inference frameworks, vector databases and data streaming systems. Strong problem‐solving skills, ability to mentor peers and thrive in a dynamic startup environment. ...

negotiable Evolve Data Engineering from operational processing to strategic enablement of decision-making AI Enablement and Team Leadership Build the foundations for AI/ML at scale - feature stores, model repositories, deployment frameworks and ML Ops governance Support productionisation of AI and machine learning initiatives across the business … modern data engineering (ETL/ELT, pipelines, real-time streaming) Strong DataOps expertise (monitoring, quality metrics, remediation across source systems) Experience productionising AI/ML solutions at scale Platform and architecture strategy experience (cloud or hybrid environments) Governance, security and compliance leadership Experience in real-time systems (anti-cheat, fraud ...

Proven experience in a product leadership role, managing a high performing team Knowledge of auction theory, bidding and pacing strategies, dynamic pricing models or machine learning concepts related to auctions or marketplaces Experience with the following: Championing a product vision and being accountable for its success. Structuring work ...

information on this role, or any other jobs across; Embedded, C++ programming, Electronics, FPGA, Javascript, C#, Python, LLM, Data Science, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today. ...

/2026) Windows 11 development Desirable Skills Experience in hardware control or interfacing software with physical devices. Software architecture and technical leadership. Image processing, ML/AI, or C++. This position offers the opportunity to join an increasingly software-centric R&D group where your work manages complex physical systems ...

with Gong (or similar call intelligence platform). • Experience with project/milestone‐based revenue (services, consulting) and commission modelling. • Exposure to AI/ML or cloud/professional services deals. Benefits: Health Insurance Fully Remote PTO: location‐based, in line with local statutory requirements and market practice. Diverse team ...

right treatment approach is well-established but undeliverable at scale. We’re changing that. Our team has deep expertise across clinical, engineering and machine learning, has a track record of healthtech innovation, and is backed by top-tier VCs and multiple unicorn founder angels. If you like Solving ...

engineering experience, ideally with some insights into distributed systems Some systems architecture exposure Performance engineering exposure Mentoring experience Preferred Superpowers Background building AI/ML platforms Experience operating within regulated industries Team & environment Small, high-calibre engineering team (~8 engineers) Fast-paced, high-ownership culture Serious technical ambition — strong people ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

evaluations, pilot programmes, testing and performance assessment Ensuring responsible-AI practices, human-in-the-loop processes and legal-risk considerations Communicating complex AI/ML concepts in simple, accessible language Continuously improving user journeys and workflow design across AI tools Benefits 25 days holiday + Bank Holidays Long-service holiday … tools) Proficiency with tools such as Jira, Lucidchart, BPM tools Excellent communication and stakeholder-engagement skills Ability to simplify and communicate complex AI/ML concepts Experience facilitating workshops and working closely with clients Confidence supporting Scrum ceremonies and Agile delivery processes A proactive, product-focused mindset with strong problem ...