26 to 35 of 35 Anomaly Detection Jobs in London

product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform ...

Define & Socialize plan of action to eliminate and control defects Enhance application logging standards across Guidewire services to achieve faster MTTR through proactive alerting & anomaly detection. Manage centralized monitoring & observability dashboards for Real Time health tracking. Experience Requisite Total Guidewire Experience: 8+ years ClaimCenter Experience: 5+ years Must ...

corrective and preventive action plans to reduce defect recurrence. Enhance application logging and observability standards across Guidewire services to improve MTTR , proactive alerting, and anomaly detection. Design, manage, and maintain centralized monitoring and observability dashboards for real-time application health tracking. Enforce Guidewire best practices, architectural standards, and SurePath ...

Define & Socialize plan of action to eliminate and control defects · Enhance application logging standards across Guidewire services to achieve faster MTTR through proactive alerting & anomaly detection. · Manage centralized monitoring & observability dashboards for real-time health tracking. Experience Requisite Total Guidewire Experience: 8+ years ClaimCenter Experience: 5+ years Must ...

Define & Socialize plan of action to eliminate and control defects · Enhance application logging standards across Guidewire services to achieve faster MTTR through proactive alerting & anomaly detection. · Manage centralized monitoring & observability dashboards for real-time health tracking. Experience Requisite Total Guidewire Experience: 8+ years ClaimCenter Experience: 5+ years Must ...

Monitoring Infrastructure : Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine : Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory … Integration : Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications • Anomaly Detection : Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before ...

Monitoring Infrastructure : Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine : Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory … Integration : Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications • Anomaly Detection : Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before ...

that address complex challenges in the national security space. What You’ll Do Design, develop, and iterate ML models for traditional tasks (forecasting, classification, anomaly detection) and GenAI/LLM applications. Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly. Transition validated experiments into ...

code" principles, including automated policy definitions and AI-generated operational guides and runbooks. Agent-First Automation: Building autonomous operational capabilities, including intelligent incident response, anomaly detection, and automated policy management. If this sounds like the right challenge for you, please apply and let's talk ...

code" principles, including automated policy definitions and AI-generated operational guides and runbooks. Agent-First Automation: Building autonomous operational capabilities, including intelligent incident response, anomaly detection, and automated policy management. If this sounds like the right challenge for you, please apply and let's talk ...