26 to 42 of 42 PyTorch Jobs in the South East

experience with HPC cluster networking. Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part ...

experience with HPC cluster networking. Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part ...

experience with HPC cluster networking. Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part ...

experience with HPC cluster networking. Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part ...

experience with HPC cluster networking. Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part ...

experience with HPC cluster networking. Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part ...

experience with HPC cluster networking. Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part ...

experience with HPC cluster networking. Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part ...

What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving … needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing ...

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join … client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile ...

An ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. This is a ...

edge machine learning solutions across the company.If you enjoy end-to-end ownership (from experimentation to deployment), working with AWS, Docker, MLflow, TensorFlow/PyTorch, and contributing to innovative projects with a flexible, results-focused culture, this could be an exciting match. Skills: Ability to write and produce production-grade … code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Speech, Text or Audio data Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning ...

equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration … next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops ...

NeurIPS, ICLR, AAAI). Advanced Python or C++ (especially C++11 and newer) experience. Advanced experience in deep learning and its different toolkits, in particular Pytorch or TensorFlow. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include …/transfer and every two years thereafter. Demonstrated ability to translate research into real-world applications. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace). Hands-on experience with generative models, especially diffusion and transformer-based synthesis. Experience building and training multimodal autoregressive models, Preferred Qualifications Experience ...

NeurIPS, ICLR, AAAI). Advanced Python or C++ (especially C++11 and newer) experience. Advanced experience in deep learning and its different toolkits, in particular Pytorch or TensorFlow. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include …/transfer and every two years thereafter. Demonstrated ability to translate research into real-world applications. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace). Hands-on experience with generative models, especially diffusion and transformer-based synthesis. Experience building and training multimodal autoregressive models, Preferred Qualifications Experience ...

Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML teams by enabling efficient … work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data pipelines using Python on GCP Manage large-scale object storage for unstructured data (Google Cloud ...

partnering with a technology-led organisation to hire a Senior Data Engineer with strong cloud and Python experience and hands-on exposure to PyTorch-based ML workloads . This role sits firmly in data engineering rather than data science or pure ML engineering and will suit someone who has supported … build, and maintain scalable cloud data pipelines supporting ML workloads* Manage large volumes of unstructured data using cloud object storage (GCS/S3)* Support PyTorch-based data loading and dataset management in production environments* Work closely with ML practitioners to enable training and inference pipelines* Ensure efficient memory usage ...