6 of 6 Anomaly Detection Jobs in Central London

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What y ou will be doing : Push the frontier of research in areas such as deepfake … detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation ...

into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery * Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. * Contribute to technical documentation and ensure pipelines are maintainable and transferable. * Stay current on Databricks and Azure ...

Engines, Revenue Management tools). Data Quality & Integrity: Ensure consistent, accurate, and timely data flow across systems. Develop processes for data validation, reconciliation, and anomaly detection. Cross-Functional Collaboration: Work closely with operations, marketing, finance, and executive teams to understand data needs and translate them into analytical solutions that ...

diverse global markets, ensuring metrics account for regional regulatory and language differences. Advanced Analytics & AI: Leverage Python and Gen AI tools to automate anomaly detection, summarization, and recurring insight generation. Root Cause Discovery: Conduct deep-dives into the end-to-end customer journey to uncover friction points ...

What You'll Need: * The ability to demonstrate your extensive experience in designing and configuring the following within Dynatrace: o Application performance monitoring o Anomaly detection profiles o Alerting rules and alert profiles o Synthetic monitoring o Log monitoring o Real User Monitoring (RUM) to capture ...

Monitor and evaluate emerging IAM trends (eg, passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response (ITDR) solutions. ...