12 of 12 TensorFlow Jobs in Cambridge

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 ...

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 Valued ...

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 ...

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 ...

code 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 ...

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 latency, memory, model size and accuracy. ...

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 ...

have experience across all the areas below. Relevant knowledge, practical experience, or exposure could include: Machine learning inference frameworks such as LiteRT, TensorFlow Lite, ONNX Runtime, or similar technologiesGPU programming or compute technologies such as Vulkan, OpenCL, TOSA, or compute kernelsMachine learning runtimes, compilers, drivers, or backend integrationComputational graphs ...

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 technology is also important. A good understanding of how AI models execute in practice is essential, including graph ...

between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree ...

level optimization. CMSIS-DSP, CMSIS-NN, or equivalent compute libraries. Ethos-U NPU or other AI accelerators. Audio processing, computer vision, or sensor fusion. TensorFlow Lite, ExecuTorch, or other embedded ML frameworks. Python scripting for automation, benchmarking, and performance analysis. Experience with FPGA prototypes or pre-silicon platforms. Deploying ...

Experience 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 … 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 recruitment ...