1 to 25 of 33 Machine Learning Jobs in Cambridge

Cambridge working on cutting-edge machine learning projects from concept through to deployment. The Role: Research and develop innovative AI/ML solutions for challenging technical problems. Design, train and evaluate machine learning models across a variety of applications. Rapidly prototype, test and optimise new ideas. … Analyse research papers and apply the latest ML techniques. Design experiments, interpret results and present technical findings. Key Skills required for this Machine Learning Engineer role: Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject. Commercial or research experience in Machine Learning ...

good software engineering fundamentals. Experience could come from professional work, internships, academic projects, open-source contributions, or other practical software development. An interest in machine learning software and how AI models run on different hardware is important. Some experience with, or exposure to, machine learning frameworks … would be beneficial but is not essential. In this role, you will contribute to developing, testing, and improving software across different parts of the machine learning software stack. Working alongside experienced engineers, you will help investigate functional and performance issues and contribute to solutions across runtimes, compilers, drivers ...

type: Full-TimeWork site: 3 days/week in-officeRole type: Individual ContributorTravel: Less than 25%Profession: Research, Applied, & Data SciencesDiscipline: Research SciencesCompany: MicrosoftOverviewThe Machine Intelligence team at Microsoft Research Cambridge conducts foundational machine learning research across learning algorithms, model architectures, intelligent systems, and efficient AI.We … seeking a Researcher to develop new theoretical foundations for understanding how and why modern machine learning models learn, generalize, and behave. The research may address areas such as training and optimization dynamics, feature and representation learning, the role of architecture, and scaling and emergent behaviour, with opportunities ...

create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through … anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains ...

Bioinformatician Are you a talented Bioinformatics Scientist with a passion for data science, machine learning, and genomics? We are seeking an ambitious and highly motivated individual to join an innovative research and technology team developing cutting-edge solutions in the field of functional genomics. This is an exciting … Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. ...

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 ...

strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Essential Requirements: BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline, with 3+ years of hands-on experience in scientific … data science or engineering, AI/ML, computational research within the biopharma and/or technology industry. We will also consider qualified recent PhD graduates (within last 2 years).Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls ...

growing organisation within the Defence Sector, based in Cambridge, is currently seeking a skilled Machine Learning Engineer or Artificial Intelligence Engineer to contribute to the ongoing development of defence, security, and intelligence technologies. This is an expanding organisation offering intriguing career development opportunities based on success. You will … ongoing skills training, and other outstanding perks. If you seek daily challenges and the opportunity to work on projects at the forefront of the ML/AI field, we encourage you to apply now, as we anticipate significant interest in this role. For more information, please do not hesitate ...

closely with product, engineering, data science and leadership teams, you will take ownership of designing and building scalable data platforms that underpin advanced analytics, machine learning and AI-powered solutions. This position offers the opportunity to combine hands-on engineering with technical leadership, influencing architecture and engineering standards … foundations for a growing data function. You will be involved in everything from developing robust data pipelines and secure data services through to enabling machine learning capabilities and delivering trusted business intelligence. For engineers who enjoy solving complex data challenges, building sophisticated data platforms and working ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

background, proven leadership capability and the ability to deliver innovative AI solutions at scale. About You * 10+ years' experience in Software Engineering, Data Science, Machine Learning Engineering or a related technical discipline. * 5+ years leading high-performing engineering teams. * Experience delivering enterprise software, AI or SaaS solutions into … list for this role. Keywords: Head of AI Engineering, Head of Engineering, Director of Engineering, AI Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

excellent benefits Requirements for Senior Security Researcher - AI & Cybersecurity: Strong academic background, ideally including a Master's or PhD in Cybersecurity, Computer Science, AI, Machine Learning or a closely related subject Strong knowledge of cybersecurity and attacker techniques Good understanding of networking and network security Knowledge of generative … Security/Endpoint Security/Security Tools/Threat Intelligence/Prompt Injection/Adversarial AI/CCNA/Linux Essentials/SOC/Machine Learning/Artificial Intelligence/Computer Science/Cybersecurity RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even ...

when needed. - Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. - Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. - Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords : Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

extraordinary developer experience across command-line tools, Python, Jupyter notebooks, IDEs, CI and AI coding agents. Help developers use Arm's tooling within familiar ML frameworks including PyTorch. Prioritize capabilities that increase model compatibility with Arm accelerators, ensuring that developers can benefit during pre-or-post Silicon. Turn UX research … product and market data into roadmap decisions. Incorporate groundbreaking approaches to agentic model optimization, including safe and reproducible automation. Develop partnerships with ML frameworks, runtime providers, silicon partners and accelerator vendors. Required Skills and Experience :Are you motivated by translating technical challenges into clear product decisions? If you are comfortable ...

understanding industry trends like generative AI and developing our future computing devices that will power artificial intelligence. This touches all aspects of computing including machine learning, but also security, energy efficient performance, and software ecosystems. Responsibilities: As a member of a versatile team, you will work closely with … communicate clearly with both expert and non-expert audiences."Nice To Have" Skills and Experience :Arm architecture fundamentals. Vector processing and parallel programming. Machine learning, agentic AI.Robotics & Simulation Frameworks. Architecture performance analysis and optimisationIn Return: In addition to a competitive salary and comprehensive rewards package, you'll also ...

with supporting electromechanical systems Self motivation and the the ability to take the initiative in driving your work forward Ideally, some exposure to using machine learning techniques for machine vision Full, existing UK work permission, a driving licence, and the ability to obtain a UK security clearance … near term, later moving to offices in central Cambridge. A highly competitive package is on offer to the successful candidate. Keywords: Optics, lasers, cameras, machine vision, national security, Cambridge Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...

experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction or classification. Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis. Experience developing scalable, user … bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic ...

more information. Brief Description: The AI Data Science Analyst will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI/agentic AI solutions across the areas of Clinical Trial Design and Execution across Jazz Research and Development Essential Functions/Responsibilities - Support … design, development and implementation of AI/ML/GenAI/Agentic AI solutions to optimize clinical trial execution and R&D workflows - Support the development and implementation of GenAI applications for automated clinical trial documentation workflows e.g. protocols, clinical study reports, SAPs - Support model evaluation and quality testing ...

training pipelines Source and, where appropriate, preprocess datasets for training and evaluation Fine-tune and optimise open weight models (LLMs, vision or traditional ML) Build evaluation frameworks and define performance metrics Develop and maintain data pipelines and training workflows Analyse training pipelines and optimise for latency, cost and scalability Implement … solid understanding of model evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug ...

Tooling - Deep familiarity with Windows 11 development, Azure DevOps, Git, and Visual Studio. Desirable Skills Hands-on exposure to hardware control, image processing, or ML/AI. C#/.NET working knowledge. Background in software architecture or technical leadership. Apply as soon as possible to be contacted with further information ...

with Windows 11 development, Azure DevOps, Git, and Visual Studio. Desirable Skills - C++ Software Engineer Hands-on exposure to hardware control, image processing, or ML/AI. C#/.NET working knowledge. Background in software architecture or technical leadership. Apply as soon as possible to be contacted with further information ...

analyse robotic system data Identify and integrate fleet management frameworks such as Open RMF to support autonomous robot scheduling Collaborate with robotics, vision, machine learning, mechanical, and electronics teams within an Agile development environment Test, debug, and validate software performance, reliability, and deployment readinessTo be successful, you should ...

ability to work independently with colleagues across subject areas."Nice To Have" Skills and Experience :Experience with AI governance programs, technical standards, product conformity, machine learning or cloud services would be helpful. Relevant credentials such as AIGP, CIPP/E, CIPM, CIPT, CISSP or CISM are welcome. … bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic ...

product teams to influence future development Represent the organisation at customer meetings and industry events in the UK and internationally. Desired Background Experience applying machine learning to engineering optimisation or design exploration Familiarity with GT-SUITE , Simcenter or similar CAE/simulation tools Degree in engineering or related ...

around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits. At SiFive, we are always excited ...