1 to 25 of 41 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 ...

model calibration and domain adaptation; data-centric AI; model interpretability; model post-training and alignment. Exceptional software engineering skills: Python, deep learning frameworks (e.g., PyTorch), frontier coding agent frameworks, modern LLM tooling, and cloud platforms (e.g., AWS, Azure, GCP). Demonstrated experience translating AI methods into applications that inform clinical ...

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 ...

from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit‐Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating ...

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 ...

discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with ...

. 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 ...

code. Improve reproducibility, traceability and quality across ML engineering workflows. Identify risks, communicate trade-offs and proactively improve tooling and processes. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. Experience building, optimising and maintaining ML training and inference pipelines. Experience with ...

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 ...

machine learning models in products. Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar. Experience designing user-facing machine learning features with interdisciplinary partners. Experience with recommender systems. Experience with text-centric AI/ML (LLMs ...

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 ...

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 ...

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. ...

fulltime basis (with some flexibility). About you: You have strong backend software engineering experience with Python, including Python libraries such as PyTorch, NumPy You have experience working with asynchronous, parallel or distributed systems You have a good knowledge of at least one relational database e.g. SQL Server, Oracle ...

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 ...

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 #J-18808-Ljbffr ...

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 ...

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

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 ...

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 ...