23 of 23 Permanent Machine Learning Jobs in Cambridgeshire

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 ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

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 … other data professionals If you meet theaboveminimumrequirements, we encourage you to apply. Your application will be even stronger if you can alsodemonstratethefollowing desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high-stakes data environments Skills in experimentation and statistical analysis (A/ ...

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 ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers: hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

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. ...

talented individuals. Exposure to working with fortune 500 companies and innovative market disruptors. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud. ...

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. ...

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. ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

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 ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

protocols C/C++ modelling Performance/modelling AI accelerators - VPU - vector, matrix, scalar units etc. Matrix multiplication Mathematical/statistical computations Datapaths in ML/AI accelerators Datapath valdiation/formal verification Datapath abstraction - FSMD etc. High-performance compute System architecture Processor architecture Emulation/validation Formal verification ...

contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack: You'll work …/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling: You'll help push the boundary of what's feasible with modern AI-powered software development ...

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 ...