26 to 26 of 26 Anomaly Detection Jobs in London

business needs into data-driven solutions Essential skills: Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering SQL – querying structured datasets Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines) Git – version control for reproducible workflows Time-Series Analysis – spotting risk trends over time EDA – identifying early risk … signals and clusters Desirable skills: Rank aggregation/ensemble methods (e.g. Robust Rank Fusion) Model explainability tools (SHAP, LIME) Model monitoring & drift detection Experience in RegTech, FinCrime, or data-led supervision projects Please submit your CV, highlighting relevant experience. More ❯