126 to 142 of 142 Machine Learning Jobs in Cambridgeshire

Limited is seeking software engineers to join the ML compiler development team in Cambridge. You will contribute to AI/ML compiler design, model ingestion, and optimisation as part of Arm's ML software stack. The role requires strong C++/Python skills, experience with the full software lifecycle … knowledge of ML compilation technologies (MLIR/TVM). A collaborative, proactive approach and excellent English communication are essential. #J-18808-Ljbffr ...

Background in distributed HPC, cloud environments, data engineering & analytics. Knowledge of EDA workflows and semiconductor engineering environments. Proficiency in Python and data analysis/ML frameworks. Ability to turn sophisticated data into clear, actionable strategy. “Nice To Have” Skills and Experience : Experience with IBM Spectrum LSF or other job schedulers. … Familiarity with NetApp or high-performance storage systems. Experience applying AI/ML to workload optimization or resource management. Experience building production-grade data pipelines. Exposure to FPGA and Emulation infrastructure. In Return: Join a collaborative, fast paced team solving significant platform challenges. There will be room to grow technically ...

Roku is seeking a Senior Software Engineer with strong ML infrastructure experience to own production systems across ranking, model delivery, evaluation and LLM-agent behaviour. You will improve training, evaluation, deployment and observation paths while managing latency, quality, and cost as the product scales. You will work across ML, product ...

this role means reducing developer friction, moving comfortably across stacks and thinking beyond the code to the full user journey. Practical experience of ML model optimisation techniques, deployment and efficient execution on constrained devices would make you a particularly strong addition to the team. Responsibilities: Design, build and maintain developer … optimisation and performance analysis, including quantisation, graph optimisation, operator fusion, precision reduction, profiling and debugging across latency, memory, model size and accuracy. Experience across ML frameworks, model formats and deployment tooling, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO, including model inspection, visualisation and benchmarking ...

Build scalable UI features optimized for millions of users Contribute to technical investigations and solutions for middleware and UI challenges Explore integrating AI/ML capabilities and leverage generative AI tools to accelerate development Collaborate with cross-functional teams on global platform features Develop engineering tools and learn from experienced … solving and technical communication abilities Interest in AI applications and a willingness to learn about generative AI tools Proactive mindset with passion for continuous learning and fast iteration #J-18808-Ljbffr ...

datasets, and fine-tune open weight models with a strong focus on performance and scalability. The role requires hands-on experience with Python and ML frameworks (PyTorch/TensorFlow), production ML pipelines, and GPU optimisation, with emphasis on rigorous evaluation and error analysis. #J-18808-Ljbffr ...

Roku in the UK is seeking a senior, hands-on ML engineer to design, train, and ship ML models for ad relevance and bid/yield optimization, and to build production ML infrastructure for real-time, low-latency serving. You'll work across Spark, Python, and Java, taking models from … research through deployment, collaborating with Praveen Krishnaiah’s Native Ads Modelling team and the wider Ad Performance ML group. Based in the UK (Manchester-anchored). #J-18808-Ljbffr ...

saved, safety and cost can shape what the system does next. The work is hard in the best way. Part of it is research: learning from messy, delayed, real-world feedback instead of clean benchmarks. Part of it is engineering: building reliable infrastructure that can sit inside live … multiple workstreams without losing the thread Experience supporting founders, executives, investors, sales teams, or technical teams Technical literacy, coding experience, or an AI/ML background is a plus but not required What to expect: £40k-£60k (+equity if applicable) based on location and experience #J-18808-Ljbffr ...

Cambridge-based AI startup is seeking an AI/ML & Systems Engineer on a full-time basis. The role focuses on building core ML and data architecture for probabilistic forecasting, sensor data integration, and geospatial-informed models. You will work closely with the founder to shape the platform from ground ...

Speechmatics is seeking an ML Data & Platform Engineer to own the data pipelines and the platform that trains, evaluates, and serves models in production. You will work across the full stack—from data infrastructure to production ML—owning problems end-to-end to accelerate model delivery. You’ll collaborate with … ML team to improve data quality, observability, and MLOps practices, while scaling infrastructure for faster iteration and reliability. #J-18808-Ljbffr ...

seeking a strong C++ software engineer in Cambridge to help build high-performance ML inference engines and backend integration frameworks. You will contribute across frameworks, runtimes, compilers and hardware abstractions to deliver optimized AI execution on Arm platforms. You will analyse complex performance issues, work on graph processing and memory ...

scalable data solutions. You will design observational experiments, work with large data sets, and advance feature evaluation and product roadmaps using advanced statistical and ML methods. Strong communication and collaboration are essential. #J-18808-Ljbffr ...

will work across hardware, firmware, and application teams to deliver high-performance UI features for millions of users. You’ll explore AI/ML capabilities, collaborate with cross-functional teams, and stay current with AI trends while learning and growing in a fast-paced streaming technology ecosystem. #J ...

engagements. Track agreed actions and ensure progress is visible and clearly communicated across partners. Coordinate Across Teams Work with multiple Arm teams (AI/ML, CPU, GPU, system software, tools) to coordinate inputs required for partner engagements. Translate partner requirements into clear internal follow‐ups, enabling efficient and consistent responses. … everyday execution independently while seeking guidance when needed. Nice to Have Experience working in partner‐driven or multi‐organization environments. Familiarity with AI/ML systems, security, or heterogeneous computing platforms. Experience applying program or project coordination practices in technical settings. In Return At Arm, you’ll work on industry ...

Wellcome Sanger Institute seeks a Principal Staff Scientist (computational) to lead AI/ML across the Human Genetics Programme. You will shape analytical strategy and sit on the Programme Working Group, driving models from data to clinical application with strong collaboration across genetics, proteomics, metabolomics and clinical data. You will ...

accelerate discovery! About Turbine Turbine is building Virtual Assays—AI-powered predictive models that can run biological experiments in silico. We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive testing. Our team is small, focused, and composed of researchers and engineers … regulated industries Exposure to or understanding of biological assays, phenotyping, or drug discovery Track record of publishing or speaking at major AI/ML conferences #J-18808-Ljbffr ...

cluster and petabyte-scale storage, supporting neurobiology research from molecules to organisms. You will install, upgrade and document systems, assist users with deep learning workflows, and lead infrastructure projects in collaboration with the Head of Scientific Computing. #J-18808-Ljbffr ...