5 of 5 PyTorch Jobs in Nottinghamshire

within cost cap requirements.QualificationsSKILLS & EXPERIENCEEssentialProven experience developing and deploying AI/ML models, particularly for scientific or engineering applications.Strong proficiency in Python with the PyTorch framework.Understanding of computational geometry principles and familiarity with mesh generation algorithms.Experience with statistical analysis and anomaly detection techniques for large scientific datasets.Strong software engineering practices ...

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 ...

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 ...

diverse data to boost predictive power and generate actionable customer insights. You’ll mentor others, collaborate with stakeholders, and drive prototypes through production, using PyTorch/TensorFlow and SQL/Python in a hybrid Nottingham setup. #J-18808-Ljbffr ...

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 … scale in 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 ...