3 of 3 Anomaly Detection Jobs in the City of London

data frameworks (Hadoop, PySpark). Develop and optimize data retrieval systems using RAG, FAISS, Elasticsearch, and other retrieval algorithms. Implement time-series forecasting and anomaly detection for performance monitoring and optimization. Create data visualizations and dashboards using tools like Tableau, Power BI, and Looker to communicate insights ...

focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data Optimize model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search ...

regulated sector objectives. This is a London-based role with hybrid working support. Key Responsibilities: Design, develop, and iterate ML models for forecasting, classification, anomaly detection, and GenAI/LLM applications. Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly. Transition validated experiments into ...