1 to 25 of 26 Machine Learning Jobs in Cambridge

We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion … including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Drive diverse groups of engineers to achieve ambitious goals; you will work … our product and technical direction. Grow the engineers around you through mentorship and support, ensuring we are all continuously improving together. This position allows you to influence what the ML team is working towards, and to efficiently leverage other engineers to increase the output of your experience. Who we are looking for: Someone who can act as a tech lead More ❯

foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices. This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps. Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge … you'll help design, build, and deploy the systems that make media smarter. You'll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence. You'll operate at the intersection of machine learning, infrastructure, and software … closely with product and other engineering teams to implement new content and advertising experiences through cloud services Integrating services from other teams around the company, while also providing reusable ML services to others Evaluating and providing feedback on new platform technologies provided by internal teams Working with QA teams to address bugs and contribute to automation and quality assurance We More ❯

that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for medical image analysis, working with a highly skilled team at the intersection of AI, healthcare and software engineering. Responsibilities Develop and optimise ML models for medical image processing … data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid Python skills and familiarity with cloud or MLOps tools (Docker … this position seems like one that suits you and you have the necessary experience, then apply now! Otherwise, if you're looking for any other roles within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources. More ❯

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning sound … into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models that run … Machine Learning, Information or Biomedical Engineering (or similar). Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development. Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM. Solid understanding of model optimisation for constrained hardware environments. Ability to write clean, maintainable, and well-tested code in a More ❯

to design solutions that push the boundaries of camera technology and image quality. Key Responsibilities: Design, develop, and optimize algorithms for camera image processing, calibration, and quality assessment. Implement machine learning and deep learning models for tasks such as denoising, segmentation, HDR imaging, and artifact detection. Collaborate with hardware and software teams to integrate algorithms into camera … image quality evaluation and performance monitoring. Required Skills & Experience: Proven experience in camera algorithms, image processing, or computer vision. Strong programming skills in Python, C++, and MATLAB. Experience with machine learning/deep learning frameworks such as PyTorch or TensorFlow. Knowledge of imaging sensors, optics, and camera systems. Hands-on experience with image quality assessment, segmentation, or More ❯

Summary A Research Director at Samsung AI Center leads strategic research initiatives and manages teams of research scientists and engineers working on cutting-edge technologies, particularly in areas of machine learning, generative AI, model compression, optimization, on-device deployment, and emerging technologies that align with Samsung's long-term vision and product ecosystem. Role and Responsibilities Key Responsibilities … collaborative environment that encourages creativity, risk-taking, and breakthrough thinking Build and maintain high-performing, inclusive research teams that deliver exceptional results Education & Experience Education PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical field 10+ years of post-PhD research experience with a strong publication record in top-tier venues as both main contributor and … translating research innovations into real-world products, deployments, or measurable business impact Experience with technology transfer and commercialization processes Technical Expertise Deep expertise in relevant areas of AI/ML, including at least some of large language models, multi-modal generative AI, speech and audio analysis, computer vision, mobile AI, or edge computing Strong understanding of current research trends, emerging More ❯

sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document … like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas … e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If More ❯

experience in software or robotics. Working in a data capture and validation lab in the R&D office in Cambridge UK. You will be working side by side with ML algorithms teams to create automated processes to validate new features for products. This work will be 'hands-on', working with robotic, camera and lighting equipment. Candidates should have experience working … with robotics or 3D geometrical problems, with supplementary exceptional software skills. Interest in machine learning, computer vision, software QA are desirable. This is a full-time position, candidates must be able to work from the Cambridge office the majority of the time. Key Qualifications: * Minimum qualification: Masters Degree in engineering related discipline. * Minimum qualification: 3+ years working in … industry, with experience in software or robotics. * Expertise in developing autonomous robotic solutions. * Expertise in 3D geometry. * Exceptional software engineering skills. * Interest in Machine Learning or Computer Graphics is preferable. * Comfortable with hands-on practical tasks, working in a lab environment. Everybody is welcome Diversity and Inclusion Statement. | PCR Digital "At PCR Digital, we are committed to ensuring More ❯

D Our Global client is seeking a highly motivated Automation Engineer to join a pioneering R&D team. You'll work at the intersection of robotics, software engineering and machine learning, helping to design and automate processes that validate next-generation product features. This is a hands-on, lab-based role, where you'll collaborate closely with engineers … robotics or software engineering. Proven expertise in developing autonomous robotic solutions and working with 3D geometry. Strong software engineering skills and a practical, problem-solving mindset. An interest in machine learning, computer vision or computer graphics. Comfortable working hands-on with hardware in a lab environment. If you're passionate about automation and excited by the opportunity to More ❯

changing how the world produces and consumes regulatory information. As a regulatory data provider, we process the world’s regulation using AI to transform what is human-readable into machine-readable and machine-consumable data. RegGenome is a commercial spin-out of the Regulatory Genome Project (RGP), a pioneering public-private partnership with the University of Cambridge, Judge … describing regulation to create a regulatory commons. Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Backed by £15 million in funding, we have established a solid product-market fit and are experiencing significant commercial traction with global regulatory bodies … To support our ambitious growth plans, we’re hiring a Mid-Level Infrastructure Engineer to join our remote-first, cross-functional tech team of software engineers, data scientists, and ML specialists. Our core platform processes millions of regulatory documents through hundreds of machine learning models, supporting a rapidly growing repository of global regulations. In this hands-on role More ❯

clients across the UK and internationally make healthcare more transparent and efficient.You’ll be part of a small, agile team where your work will have real impact and where learning and growth are built into the culture. Whether it’s expanding your technical toolkit or getting closer to the business side of data, this role is designed to help … Collaborating across teams to improve data workflows and infrastructure What You’ll Bring Solid Python and SQL skills Clear verbal and written communication A genuine interest in AI, LLMs, machine learning, and deep learning — if you’ve worked with them, great; if not, you’ll be supported to learn This is more than just a job it More ❯

Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications More ❯

Our belief is that collaborative open source development is a critical foundation for companies creating impactful technologies and competing at a global level. As a Software Engineer (AI/ML) you will help build smart systems, and their components, that leverage the latest open source artificial intelligence and machine learning technologies to solve real world challenges. Open development More ❯

where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast. As a Software Engineer (AI/ML) you will help build smart systems, and their components, that leverage the latest open source artificial intelligence and machine learning technologies to solve real world challenges. Open development More ❯

prepare datasets from various sources, ensuring data quality and consistency prior to analysis. Explore and analyse datasets using a range of analytical tools – including statistical methods, regression analysis, and machine learning techniques – to identify key trends and generate actionable insights for research projects. Create clear, engaging data visualisations and dashboards to communicate key research insights to internal and … team player who can work collaboratively and communicate clearly within a team. Self-starter with a positive attitude, curious mindset, and willingness to embrace new challenges. Commitment to continuous learning and professional development. Training Ongoing employment and career progression. Apprenticeship Standard Data analyst (level 4) Training Provider DIGITAL NATIVE (UK) LIMITED Working Week Monday - Friday, shifts to be confirmed. More ❯

complex datasets to uncover insights that maximize partner ROI and user engagement. Please apply if you have: Knowledge of auction theory, bidding and pacing strategies, dynamic pricing models or machine learning concepts related to auctions. Strong problem ownership and solution oriented approach. Solid analytical skills with proficiency in SQL and Python. Proven track record of collaborating with technical More ❯

Tech Stack: Python, FastAPI, MySQL/Redis, Microservices, TDD Cloud experience – ideally Azure or AWS Degree or PhD in Computer Science (Top-10 University preferred) Desirable (can be learned): ML-Ops exposure Docker/Kubernetes/Terraform or similar Infrastructure-as-Code tools Why Join: Work on world-leading Legal AI, achieving 97% contract accuracy vs 76% on general LLMs More ❯

coherent team Proven experience in a senior data science or advanced analytics leadership role, preferably within healthcare or a related field In-depth knowledge of data science techniques, including machine learning, AI, predictive analytics, and big data technologies Strong track record of delivering complex data science projects that improve business or clinical outcomes Knowledge of healthcare NHS data … at all levels in the organisation including influencing Trust Board Proven ability of leading change through people A management style that empowers others and evidence of successfully driving a learning coaching culture for all staff in your area of control Holding to account others to ensure they deliver to their targets and dealing effectively with performance Ability to provide More ❯

Whale Skiller Whale changes what tech teams are capable of through live sessions led by subject-matter experts. Developers attend a 60-90 minute session every week or two, learning something new through challenging exercises with an expert leading the session to explain the topic and answer difficult questions. Learners love us (they give us an average rating of … 4.8/5) and we have a measurable impact on the teams we work with. Our learners say: | "The real-time feedback loop of learning something, putting it into practice and getting insight beyond 'it works' beats any other learning experience I've had by miles" | "I loved that I could ask any questions at all, and learned … d love for you to apply if you enjoy building the skills and understanding of others, and have experience with most (at least 4) of the following: Explaining basic machine learning concepts to others. Some knowledge of LLM internals, e.g. transformer building blocks (at least enough to underpin deeper understanding of their behaviour) Prompt engineering Agentic AI & using More ❯

electronic products alongside industry experts. As a Graduate C++ Software Engineer, you will be responsible for developing and enhancing AI features within their engineering tools, applying advanced AI and machine learning methods to solve complex technical challenges. You will also have the opportunity to guide and educate team members on best AI practices, evaluate algorithms, document results, and More ❯

skills Excellent communication and documentation abilities Degree or equivalent experience in engineering or a related field Desirable Experience in mission critical communications or related sectors Familiarity with AI/ML integration within communications platforms Keywords Product Architecture, 4G, 5G, Embedded Systems, RF Design, Qualcomm, IoT, Linux, Android, AWS, Mission Critical Communications, Leadership More ❯

APIs. A deep understanding of GPU architectures and the workloads GPUs are likely to see, and thus what characteristics are important, in different scenarios such as gaming, XR, and machine learning. You combine the above with a good C++ development experience and know your way around tools, such as version control systems. You are self-motivated and ambitious, and More ❯

driving innovation. Education: Bachelors or Masters in Engineering or related field (or equivalent experience). Nice to Have: Background in the mission critical communications sector Experience integrating AI/ML into communication platforms More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to … applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methods and AI to synthetic biology. Demonstrable experience of developing new statistical and machine learning-based methods for analyzing biological … data to produce biological insights about cell health and rejuvenation. Experience working with mechanistic models (PDE/ODE, SDE, dynamical systems). Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience More ❯