9 of 9 Remote/Hybrid 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 ...

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 ...

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 ...

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. ...