301 to 325 of 631 PyTorch Jobs in England

sports data such as numerical, spatial, video, and metadata; Advanced Python expertise and strong hands-on experience with ML/DL frameworks such as PyTorch and TensorFlow; Experience taking models from experimentation into production model serving; End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model ...

. 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. ...

design, or applied AI research. Commercial or research experience implementing machine learning algorithms. Strong programming skills in Python; C++ experience is advantageous. Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks. Why Apply? Join a world-class AI research team working on cutting-edge machine learning technologies. Play ...

move from research and backtesting into live trading. Key Responsibilities Build and improve predictive models for sports betting markets using TensorFlow/Keras, PyTorch or similar. Develop features from historical match data, player performance, Elo/rating systems, market odds and other sports data. Develop probability models and calibration techniques ...

language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to thrive in a collaborative, team-oriented environment Ability ...

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 ...

project delivery Key Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing ...

implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer and stakeholder relationships. Supporting and leading ...

cache behaviour, attention variants and performance bottlenecksHands-on experience with LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM or TGI, and the PyTorch ecosystemExperience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architecturesStrong software engineering skills, including Python, CUDA and building reliable systems ...

cache behaviour, attention variants and performance bottlenecks Hands‐on experience with LLM serving frameworks such as vLLM, SGLang, TensorRT‐LLM or TGI, and the PyTorch ecosystem Experience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architectures Strong software engineering skills, including Python, CUDA ...

development. Hands‐on experience with frontier LLMs and their applications in code generation or automation. Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks. Experience with distributed systems, cloud infrastructure, and scalable architectures. A proactive, self‐motivated mindset, with a passion for solving ambitious, open ...

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 ...

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 ...

problems Strong experience in computer vision, algorithms or related areas Strong programming ability in Python, C++, Rust or Java Experience with frameworks such as PyTorch, TensorFlow or JAX Strong mathematical and problem-solving fundamentals An interest in combining machine learning with traditional algorithms and engineering techniques The ability to communicate ...

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 ...

/or ML/Deep Learning platforms. Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.) Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency ...

series). Experience limited to API usage or prompt engineering is not sufficient. Experience building large‐scale data pipelines and distributed training systems using PyTorch, JAX, or equivalent frameworks. Deep knowledge of large‐model training and evaluation: optimization, parallelism, mixed precision, checkpointing, experiment design, ablations, and benchmarking. Evidence of research ...

specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state ...

performance engineering: kernel/network tuning, lock-free programming, hardware-aware optimization, or FPGA-adjacent systems. Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, Spark, or comparable technologies. Understanding of market microstructure, backtesting pitfalls, transaction costs, and the operational needs of live ...

prototyping to de ployment, with strong experience in monitoring, iteration, and troubleshooting. Advanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar. Solid foundation in stats, experimental design, and working with offline/online evaluations in real-world settings. Experience leading projects and mentoring ...

team setting, including code reviews and setting software engineering best practices. Hands‐on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs ...

/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds Ideally Experience with geometric deep learning or neural operators ...

model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand ...

ONNX, C++ bindings). Experience in model quantization techniques (INT8, INT4, AWQ) and execution acceleration across NPU/GPU hardware. Proficiency in Python and PyTorch/HuggingFace ecosystems. Data Structures & Knowledge Processing Solid foundation in natural language processing (NLP), semantic summarisation, and graph-based data structures (Graph DBs, vector embeddings ...

team setting, including code reviews and setting software engineering best practices Hands‐on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs ...