3 of 3 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 ...

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 ...

insight for operators and leadership - not dashboards that nobody reads, but conclusions that change decisions – Put AI tooling to work on analysis, reconciliation, and anomaly-spotting at scale Inbound Data Quality – Own QA on inbound data from newly acquired companies - profiling, reconciliation, validation against source, anomaly detection … spreadsheets at a high level; comfortable interrogating and reconciling data rather than taking it on trust – Experience doing real data QA - profiling, validation, reconciliation, anomaly detection - with an instinct for where data goes wrong – Comfortable partnering with engineering on internal tooling: metric definition, requirements, output validation – Resourceful ...

insight for operators and leadership - not dashboards that nobody reads, but conclusions that change decisions – Put AI tooling to work on analysis, reconciliation, and anomaly-spotting at scale Inbound Data Quality – Own QA on inbound data from newly acquired companies - profiling, reconciliation, validation against source, anomaly detection … spreadsheets at a high level; comfortable interrogating and reconciling data rather than taking it on trust – Experience doing real data QA - profiling, validation, reconciliation, anomaly detection - with an instinct for where data goes wrong – Comfortable partnering with engineering on internal tooling: metric definition, requirements, output validation – Resourceful ...

Threat Detection Engineer required for global legal firm. You will be responsible for advancing the maturity of the SIEM platform alongside other strategic security solutions, working closely with internal teams to improve the organisation's overall security posture. This position focuses on onboarding new log sources, optimising data … Engineering Design and implement detection use cases aligned to MITRE ATT&CK and threat intelligence Build and tune correlation rules, anomaly detections, dashboards, and alerting workflows Continuously refine detections to reduce false positives and improve effectiveness SOC & Incident Response Support Partner with SOC analysts ...

certification or formal training APM and distributed tracing experience - OpenTelemetry, Jaeger, Zipkin Kubernetes at scale Familiarity with AI/ML concepts applied to AIOps - anomaly detection, predictive alerting, topology mapping WHAT'S ON OFFER Complex, high-impact work across serious enterprise clients from day one A close ...

.Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and emerging risk indicators .Develop and maintain classification, ranking, and unsupervised learning models, including outlier detection solutions .Deploy and manage machine learning solutions using containerized and cloud-based platforms .Troubleshoot, debug, and enhance existing code and analytical solutions .Monitor … querying and managing structured dat a.Experience i n machine learning model development and validati on, includin g:Classification mode lsUnsupervised learning techniques (e.g., anomaly/outlier detectio n)Ranking and scoring mode lsExperience deploying machine learning models in production environments using containerized platforms such a s Podm ...