1 to 25 of 36 PyTorch Jobs in Cambridgeshire

with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. What's Roku's approach ...

with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. #J-18808-Ljbffr ...

based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise ...

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 ...

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 systematically ...

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 systematically ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

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 ...

. Solid grounding in machine learning/deep-learning fundamentals — you can build, train, and debug neural networks from scratch in a modern framework (PyTorch, JAX, or similar). Demonstrable hands-on experience: research projects, publications, internships, open-source, or production work. Comfortable reading ML papers and reimplementing them. ...

C++, Rust, assembly or CUDA). A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray). Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management, model quantisation). Experience interacting ...

Need to Succeed Experience building, training, adapting, or evaluating machine learning models. Strong software engineering skills in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow. Experience designing experiments, evaluation metrics, or test sets for model performance. Ability to debug model behavior using data, traces, logs, and qualitative ...

LLMs and Deep Learning models execute on that hardware (inference vs. training, matrix multiplication, KV-caching, etc.) Proficiency with profiling tools (NVIDIA Nsight, PyTorch Profiler) and monitoring stacks (Prometheus, Grafana) Capability to work in Python for data analysis (Pandas, NumPy) and scripting The following are also highly valued: Post-graduate ...

related research experience in academia or industry. We will consider various levels of experience in relevant research areas. Key Skills Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile ...

Strong programming skills in Python. An in-depth understanding of the deep learning approaches and working experience with machine learning framework/packages (e.g, PyTorch). Desired: Background knowledge of video compression techniques and standards such as HEVC. Familiarity with GPU programming such as CUDA. Knowledge of vision science, e.g. ...

technical documentation Nice to have Experience with optimisation, reinforcement learning and/or large language models Familiarity with deep learning frameworks such as TensorFlow, PyTorch or JAX Experience with scalable system design and deployment in research or production environments Exposure to chip design or applied AI research A track record ...

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 ...

machine learning algorithms Experience training and working with generative models Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer graphics Preferred Qualifications PhD in Computer Science ...

familiarity with product design processes is a strong plus. Familiarity with CAD and/or CAE Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...) Experience with agentic AI orchestration What You Get Work with a world-class technology team - our engineers are top-notch, and we always ...

programming environments such as CUDA, ROCm, OpenCL or CANN/Ascend. Experience with AI frameworks or inference/serving systems such as PyTorch, vLLM, SGLang, ONNX Runtime, or similar systems. Experience with profiling and performance-analysis tools for CPUs, GPUs or NPUs. Knowledge of multi-device or distributed execution, collective ...

aware model optimisation techniques such as quantisation, graph optimisation, operator fusionandprecision reduction Experience 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 ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with software engineering practices and ML testing frameworks Who we are: Speechmatics is the leading expert in Speech ...

model inference (e.g., dynamic batching, flash attention, speculative decoding)Proven track record of developing and deploying models at scaleProficiency in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platformsStrong familiarity with software engineering practices and ML testing frameworksWe encourage you to apply even if you do not feel ...

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 ...

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 across CPUs, GPUs and ML accelerators. In Return ...