19 of 19 PyTorch Jobs in Cambridgeshire

controls, and reproducible workflows.Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred.Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms.Deep practical experience in software or data engineering ...

reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms. Demonstrated record of scientific or technical impact ...

grounded in solid system design, integration, data, CI/CD, observability, security, and cloud‐native practices.Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, or similar.Experience with LLM and agentic patterns, including retrieval, orchestration, tool use, evaluation, guardrails, and governed production deployment.Solid understanding ...

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 and improve model performance systematicallyAlso ...

environments, with a strong commitment to reproducible research, version control, testing, and data provenance.Strong proficiency in Python and the scientific deep learning stack (e.g., PyTorch, Hugging Face, Lightning, MONAI), along with hands-on experience using image analysis tools such as scikit-image, OpenCV, napari, Cellpose, StarDist, InstanSeg, and OME-Zarr.Self ...

research experience in Machine Learning (industry, PhD, MSc or personal projects).Strong Python programming skills. Experience with one or more ML frameworks such as PyTorch, TensorFlow, Keras or JAX.Strong analytical, problem-solving and communication skills. The company are rapidly expanding and are at the forefront of their industry. They ...

generation. Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX.Solid understanding of parallel and heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain ...

following: Python, R, or Julia. Hands-on experience using data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Keras, or equivalent. Experience working with Next Generation Sequencing (NGS), OMICS datasets, or other large-scale biological data. Knowledge of variant calling, exome sequencing, whole genome sequencing ...

learning models run on real hardware, training versus inference, matrix multiplication, KV-caching, that level of detail Comfortable in profiling tools like Nsight or PyTorch Profiler, and monitoring stacks like Prometheus and Grafana Python for data work, Pandas and NumPy, plus general scripting Nice to have rather than essential ...

architectures and Arm developer tools. Practical exposure to AI/ML frameworks deployed at the edge or cloud (e.g., ExecuTorch, Kleidi, Ethos-U, PyTorch, TensorFlow Lite).Experience designing structured learning curricula, lab exercises, or international developer hackathons. Key Performance Indicators (KPIs) & Success MetricsTechnology Penetration: Quantitative growth in Arm technology ...

physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding ...

thesis, a placement, or serious personal projects Hands-on work with GPU or accelerator code, CUDA or similar Familiarity with profiling tools (Nsight, PyTorch Profiler) and ideally some exposure to monitoring stacks (Prometheus, Grafana) Strong Python for data work, Pandas and NumPy, genuine scripting ability Nice to have: exposure ...

hardware-aware model optimisation techniques such as quantisation, graph optimisation, operator fusionandprecision reductionExperience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between ...

need to demonstrate:Proven product management in development tools and software including CLIs, SDKs and APIs.Knowledge of machine learning frameworks, runtimes, infrastructure such as PyTorch, ONNX, ExecuTorch, Llama.cpp, vLLM and LiteRT.Understanding of model deployment to edge, embedded or heterogeneous computing, with an understanding of trade-offs between accuracy, performance ...

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.Due to projects being related to defence applications, candidates must … work on interesting projects that will challenge you technically and allow you to 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 UpPlease note: even if you don't have exactly ...

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. Due to projects being related to defence applications … work on interesting projects that will challenge you technically and allow you to 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 ...

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 ...

responsibilities include: Understanding emerging AI models, workloads and application use cases, and translating these into future software and hardware requirements. Working across ecosystems including PyTorch, ExecuTorch, LiteRT and ONNX, plus associated compilers, runtimes and kernel libraries. Evaluating emerging technologies and industry trends to understand their implications for Arm. Required Skills … Strong knowledge of modern AI models and workloads is also required. Candidates should understand the computational characteristics that determine performance on hardware. Familiarity with PyTorch, ExecuTorch, LiteRT, ONNX or ONNX Runtime is important. We also value: Understanding of how AI workloads move through graphs, compilers, runtimes and kernels to hardware. ...

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of ...