4 of 4 TensorFlow Jobs in Nottinghamshire

including code reviews and setting software engineering best practices \n \n 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. \n \n Experience working with structured and unstructured data, such ...

using frameworks such as Flask and Django, and integrating computer vision capabilities. Computer Vision: Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch. Databases & Servers: Solid knowledge of MySQL, MongoDB, and web servers like Apache. UI/UX: Good understanding of UI/UX principles ...

matching platform requirements.Define model calibration, scoring logic, confidence thresholds, and optimisation strategies.Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost.Review and approve technical designs for complex modeling workflows.Explainability & Regulatory-Grade ReasoningEstablish explainability standards across the ML stack, using SHAP or equivalent frameworks.Define patterns … enterprise environments.Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services.Expert-level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost).Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management.Advanced experience designing explainability systems, reason codes, and governance artefacts.Expertise ...

platform requirements. Define model calibration, scoring logic, confidence thresholds, and optimisation strategies. Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost. Review and approve technical designs for complex modeling workflows. Explainability & Regulatory-Grade ReasoningEstablish explainability standards across the ML stack, using SHAP … environments. Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services. Expert-level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost).Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management. Advanced experience designing explainability systems, reason codes ...