26 to 38 of 38 Anomaly Detection Jobs in the UK

Have: IBM Integration ecosystem exposure (TechXchange, User Groups). Migration experience (legacy/MuleSoft webMethods). AI in integration (GenAI co-pilots, agent frameworks, anomaly detection). Dashboarding/observability for APIs/B2B/IS. Ways of Working: Hybrid/remote, with on-site workshops across ...

Have: IBM Integration ecosystem exposure (TechXchange, User Groups). Migration experience (Legacy/MuleSoft webMethods). AI in integration (GenAI co-pilots, agent frameworks, anomaly detection). Dashboarding/observability for APIs/B2B/IS. Ways of Working: Hybrid/remote, with on-site workshops across ...

Have: IBM Integration ecosystem exposure (TechXchange, User Groups). Migration experience (legacy/MuleSoft webMethods). AI in integration (GenAI co-pilots, agent frameworks, anomaly detection). Dashboarding/observability for APIs/B2B/IS. Ways of Working: Hybrid/remote, with on-site workshops across ...

establish observability standards. To thrive in this role, you should have extensive experience in designing and configuring the following within Dynatrace: Application performance monitoring Anomaly detection profiles Alerting rules and alert profiles Synthetic monitoring Log monitoring Real User Monitoring (RUM) to capture and analyze end-user experiences ...

alerting workflows. Experience with streaming telemetry, including tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Exposure to AI or ML-driven monitoring, anomaly detection or predictive fault identification. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Comfortable working independently ...

alerting workflows. Experience with streaming telemetry, including tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Exposure to AI or ML-driven monitoring, anomaly detection or predictive fault identification. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Comfortable working independently ...

alerting workflows. Experience with streaming telemetry, including tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Exposure to AI or ML-driven monitoring, anomaly detection or predictive fault identification. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Comfortable working independently ...

alerting workflows. Experience with streaming telemetry, including tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Exposure to AI or ML-driven monitoring, anomaly detection or predictive fault identification. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Comfortable working independently ...

whitepapers , contributing to product strategy Familiarity with security audits , RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring , with an interest in developing stronger skills. Understanding of full packet capture and analysis concepts, or hands ...

guidance and best practices for data profiling, cleansing, and validation Explore and apply AI-driven techniques (e.g., GenAI) to enhance data quality automation and anomaly detection. ...

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working ...

IDMZ) and robust network segmentation aligned to the Purdue Model Administer and maintain OT-specific security solutions such as asset inventory, network monitoring, and anomaly detection tools (e.g., Claroty) Work directly with Engineering and Maintenance teams to ensure OT systems (SCADA, DCS, PLCs) comply with security standards ...

Monitor and evaluate emerging IAM trends (e.g., 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. ...