4 of 4 XGBoost Jobs in London

Skills and Experience Data Science (large) Data processing Data Analytics Programming skills, e.g., Python ML/DL frameworks, e.g., Scikit-learn, XGboost, Torch, Tensorflow Cloud Production deployment API Software risk AI Model Risk Qualifications Bachelor’s degree (or above) in Computer Science, Computing engineering, Mathematics, or a related field. Languages ...

Registry, Model Monitor) Data Processing: Amazon Athena, Apache Iceberg, AWS Glue, Spark Machine Learning ML Frameworks: Scikit-Learn, Hugging Face ML Algorithms: Tree-based (XGBoost), Deep Learning Model Explainability: SHAP explanations Programming and Development Tools Python Data Processing Libraries, e.g. NumPy, Pandas, Matplotlib, Librosa SQL Source Control and CI/ ...

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 ...

problems and solutions to technically guide more junior data scientists.· Expert in applied machine learning, including the techniques currently being used in PRISM (XGBoost and SHAP)· Experience of using machine learning to solve commercial predictive· Ideally, experience with Causal MLBoth roles require Stakeholder management skills (defining and prioritising requirements, contributing ...