9 of 9 Machine Learning Engineer Jobs in Cambridgeshire

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 ...

Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices … 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 data collection and training to product integration, testing and evaluation. With your models ...

Specific Skills and Experience Required We’re looking for strong C++ software development experience , ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar … design, develop, integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Beneficial but Not Required Experience across every area below ...

Overall purpose: Experienced embedded firmware/systems engineer with specific knowledge of machine learning and machine vision to join the Electronics and Software group. Main duties/key responsibilities: Work directly with customers and clients in multidisciplinary teams to understand their requirements, define tasks and take … technical and non-technical audiences. Define software system architecture, functional requirements, features and use cases. Use Python, C and C++ with machine learning frameworks to create intelligent embedded systems employing wired and wireless communications, sensors, user interfaces, and control for a range of applications. Develop high-quality code ...

looking for a Machine Learning Engineer/AI Research Engineer to join our small core team. This is a hands-on role sitting at the intersection of modern machine learning and quantum computing — with two complementary directions. ML for quantum — using neural networks … learning-based methods to accelerate quantum computation (e.g. circuit optimisation and compilation, error mitigation, calibration, variational-parameter optimisation, and surrogate modelling of quantum processes). ML on/with quantum — building and adapting classical AI methods, including neural networks and large language models, so they can benefit from quantum ...

like to combine hands-on software engineering with the opportunity to develop and support other engineers? We’re looking for a Staff Software Engineer and Line Manager to join Arm’s Central Engineering Machine Learning Group. This is an opportunity to contribute … Vulkan , an open-source project helping developers deploy machine learning workloads through Vulkan across a wide range of platforms and devices. The role combines technical contribution and people leadership . Alongside designing, developing and improving software, you’ll support engineers as they develop their skills, take greater ownership ...

skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute … about advancing the next generation of AI models on cutting‐edge hardware, we’d love to hear from you! Responsibilities and Duties Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback ...

scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published … work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Master’s degree or Postgraduate (preferred) qualification from ...

What does the team work on? Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ million active accounts. Roku pioneered streaming to the TV and continues to innovate ...