12 of 12 Permanent Anomaly Detection Jobs in London

, escalation, and resolution of security alerts and major incidents. Manage, operate, and tune key security platforms, including SIEM, EDR/XDR, Network Anomaly Detection (NAD), and cloud security technologies. Oversee vulnerability management and coordinate remediation efforts across global systems. Design and operate SOAR workflows … managing major incidents and collaborating with third-party/outsourced SOC providers. Demonstrated experience designing and operating SOAR workflows. Hands-on knowledge of Network Anomaly Detection (NAD), firewalls, LAN/WAN security principles, Secure Email Gateways, and Secure Web Gateways. Solid grounding in security frameworks such ...

/v4 Foundation or experience aligning QA with service management practices. Experience applying AI/ML in Quality Engineering, including test optimisation, defect prediction, anomaly detection or analytics-led assurance. Experience with enterprise orchestration tools such as Control-M, Autosys or equivalent scheduling platforms. Experience with master ...

telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries, OPA policies ...

Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions. Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows. Excellent communication skills, with experience collaborating across technical, investment ...

networks, underpinned by SON and closed-loop automation. Apply Generative AI & Autonomous Networks, identify and pilot GenAI use cases (AI-assisted planning, anomaly detection, predictive maintenance) and architect solutions aligned with TM Forum L0–L5 and ETSI ZSM frameworks. Productionise AI/ML models, collaborate with data ...

secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection. Build and deliver Generative AI and LLM-powered applications using modern AI frameworks. Lead experimentation cycles, defining hypotheses, running evaluations, and iterating ...

initiatives and high-impact business challenges. The Role Build and improve machine learning models focused on retention, engagement, customer lifetime value, and forecasting Develop anomaly detection solutions to identify issues impacting customer journeys and performance Design and evaluate experiments, including A/B testing Partner with Product ...

initiatives and high-impact business challenges. The Role Build and improve machine learning models focused on retention, engagement, customer lifetime value, and forecasting Develop anomaly detection solutions to identify issues impacting customer journeys and performance Design and evaluate experiments, including A/B testing Partner with Product ...

over 4 million members. Working within a small, high-impact Data Science team, you'll develop models across retention, CLV, recommendations, search, forecasting and anomaly detection, partnering closely with Product, Marketing, CRM and Finance. The Role Build retention, churn and CLV models Develop recommendation and search algorithms ...

FinOps for AI), including the cost and governance implications of AI‐driven workloads, and how AI‐assisted tooling (AI for FinOps) can support forecasting, anomaly detection, insights generation, and optimisation activities. Key expectations from this role include: As a Consultant: lead a stream of work and produce ...

automated, and semi-automated activity , identifying deception, obfuscation, and evasion techniques. Develop and refine methodologies for analysing non-human actors , including behavioural baselining and anomaly detection. Maintain detailed analytical records, datasets, and evidential chains suitable for briefing, assessment, and escalation. Produce clear, compelling written intelligence reports , including threat assessments ...

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. ...