376 to 400 of 739 PyTorch Jobs in the UK

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 ...

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 ...

pattern recognition, data mining, or artificial intelligence. Core Technical Stack: Advanced proficiency in Python and hands‐on experience with deep learning frameworks such as PyTorch . Large‐Scale Models: Experience developing ML models at scale, including programmatically querying LLMs, LLM post‐training, and running experiments over massive datasets. Scientific Rigor ...

Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: Transformers/Hugging Face for working with pre-trained LLMs, finetuning, and inference PyTorch for deep learning model development and training OpenCV for computer vision tasks and image preprocessing in object detection PIL/Pillow for image manipulation ...

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 ...

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 ...

STAC ecosystem. Hands‐on experience training, evaluating, and debugging ML models across the modern Python stack – deep learning (CNNs, U‐Nets, vision transformers) using PyTorch, and classical methods (gradient boosting, random forests) with scikit‐learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor‐specific ...

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 ...

tuning. Strong software engineering practices, including clean, testable, well-documented and reproducible research code, with proficiency in Python and deep learning frameworks such as PyTorch or JAX. Familiarity with distributed training frameworks and large-scale biomedical data processing, with demonstrated ability to take research from novel idea through rigorous experimentation ...

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 ...

equivalent practical experience. Experience with training generative models (Large Language Model (LLM), image, video). Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience conducting research. Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications Experience with large-scale data pipelines. Experience with ...

Mathematics, Statistics)Proven ability to develop and deploy business-critical, data-intensive applicationsExtensive experience with AWS and KubernetesProficiency with lower-level libraries such as PyTorch and NumPyHands-on experience implementing distributed, multi-threaded, and scalable applicationsExperience with automated building, testing, and deployment pipelinesFamiliarity with higher-level interfaces like Pydantic ...

training or certification on artificial intelligence and machine learning concepts and applied experienceAdvanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face)Hands-on experience evaluating, fine-tuning, and deploying Large Language ModelsStrong grounding in experimental design, evaluation, and benchmarking of ML systemsAbility to bridge ...

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 ...

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 ...

tuning. Strong software engineering practices, including clean, testable, well‐documented and reproducible research code, with proficiency in Python and deep learning frameworks such as PyTorch or JAX. Familiarity with distributed training frameworks and large‐scale biomedical data processing, with demonstrated ability to take research from novel idea through rigorous experimentation ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience ...

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 ...