Anomaly Detection Jobs in Leeds

3 of 3 Anomaly Detection Jobs in Leeds

Oracle OCI Lead Engineer

Leeds, UK
Bank of England
Monitoring, Events and Alarms. Integrate OCI monitoring with third party SIEM, ITSM and APM tools (e.g. Splunk, BMC etc.) Lead the setup of custom metrics, threshold-based alerting, and anomaly detection to reduce mean time to detect/respond (MTTD/MTTR). Drive operational excellence via log aggregation, correlation and root cause analysis across cloud environments. More ❯
Employment Type: Full-time
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Threat Hunter - National Security - Leeds

Leeds, Yorkshire, United Kingdom
Hybrid / WFH Options
BAE Systems (New)
other SOCs and cybersecurity researchers to identify analytics, threat intelligence, and tradecraft that benefit the Blue Team. Communicate funding and prioritization suggestions and lead implementation when needed. Develop complex, anomaly-based KQL analytics and playbooks for detection in M365, Linux, and Windows environments. Review open-source research on threats affecting cloud services and VMs, prioritizing and implementing … relevant findings. Research vulnerabilities, produce proof-of-concept exploits, and emulate adversary TTPs for training and detection evaluation. Review red team and pentest findings to improve detection rules. Provide forensic support and threat emulation to improve alert triage and accuracy. Identify gaps in SOC processes, data collection, and analysis, demonstrating the need for improvements through scenarios … AWS knowledge preferred. Understanding of Windows Active Directory and Windows OS fundamentals. Networking fundamentals experience. Experience with CI/CD and source control systems. Experience in developing malware and anomaly detections. Use of statistical methods for anomaly detection. Proficiency with Microsoft Sentinel and/or XDR. Strong skills in writing complex KQL analytics/searches. Awareness of current More ❯
Employment Type: Permanent
Salary: GBP Annual
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Senior Lead Engineer

Leeds, UK
FBI &TMT
Building self-serve dashboards and tools for kitchen operators Launching new greenfield initiatives, such as: AI-driven food quality control (computer vision + human-in-the-loop) Real-time anomaly detection and alerts Direct-to-consumer sales tooling New data collection tools (e.g. camera feeds, mystery diners) Skills required Tech stack, TypeScript, Node.js, React, Postgres Senior software More ❯
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