26 to 50 of 72 TensorFlow Jobs in England

experience with Azure Machine Learning and MLOps frameworks. Experience with Azure DevOps, CI/CD pipelines, and automation. Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn. Experience with Docker, Azure SQL Database, Storage Accounts, Blob Storage, and SQL/NoSQL technologies. Experience monitoring and supporting production ...

modern software engineering practices Machine Learning/Deep Learning MLOps and production ML systems Cloud platforms and scalable infrastructure ML frameworks such as PyTorch, TensorFlow or equivalent LLMs/Generative AI is highly desirable CI/CD, Docker, Kubernetes or similar technologies Designing and operating production-scale ML platforms ...

Machine Learning/ML/Computer Vision/Deep Learning/CNN/Convolutional Neural Networks/Vision Transformers/ViT/PyTorch/TensorFlow/Neural Networks/Model Development/Model Optimisation/Object Detection/Segmentation/Tracking/GPU/Edge AI/Real-Time ...

software engineering best practices. Experience across the machine learning lifecycle, including taking models into production. Hands-on experience with frameworks such as Scikit-learn, TensorFlow or PyTorch. Experience working with cloud platforms such as AWS, Azure or GCP. Knowledge of cloud architecture, infrastructure and security. Practical experience with Docker ...

cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++ ...

preferences.Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning.Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP).Desired:Graph Neural Networks (GNNs): Strong experience applying ...

commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud ...

across the AI/ML lifecycle, from data exploration and prototyping to deployment and operational suppo rt.Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Fa ce.Experience working with cloud platforms including AWS, Azure, or G CP.Understanding of MLOps practices, model evaluation, and scalable ...

research environments. Strong understanding of Machine Learning techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical ...

across a small ML team. What they're looking for Proven experience building and operating production ML systems Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps, CI/CD and model lifecycle management Cloud platforms (AWS, GCP or Azure) and containers/Kubernetes Experience with low-latency or real ...

theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually and face-to-face ...

models on DatabricksFamiliarity in Cloud-based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring ...

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

production environments. Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment Engineering best ...

some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration ...

some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration ...

systems in production environments.Strong understanding of machine learning engineering principles and modern software engineering practices.Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar.Experience training and optimising models using large datasets and distributed compute infrastructure.Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning ...

compliance.WHAT YOU BRINGProduction-Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud-native AI platforms (AWS, Azure, or GCP).Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines ...

requirements and software used in Computational Chemistry, NMR, or X-ray crystallography . GPU Optimisation: Experience configuring GPU resources for Machine Learning (PyTorch/TensorFlow) and molecular dynamics. Cloud Proficiency: Practical experience with AWS, Azure, or GCP, specifically regarding hybrid workloads or cloud migration. Why This Role? This ...

Essential Requirements You will have a PhD in a relevant topic. Experience in software development in Python Experience with at least one ML framework: TensorFlow, Pytorch. Experience working with LLMs, knowledge graphs, or graph machine learning Of particular interest are candidates with the following experience (evidenced by a track ...

following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Demonstrated depth in model design, optimization, and evaluation beyond standard off-the-shelf approaches Strong intuition for model failure modes, generalization, and real ...

some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration ...

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 ...

optimization passes, or code 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 ...