26 to 36 of 36 Anomaly Detection Jobs in the UK

data processing Strong hands-on experience in C#, .NET, Golang, or TypeScript , plus SQL/databases Awareness of AI/ML applications in scalable platforms (e.g., real-time recommendations, anomaly detection, predictive analytics) Strong leadership, communication, and stakeholder engagement skills Experience in system rebuilds, migrations, or greenfield platform design is a big plus Why Join Us? Hybrid More ❯

energy clients to manage fleets of autonomous systems and turn vast inspection data into actionable intelligence. Our platform is becoming the mission control for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working with some of the world s leading industrial organisations, this platform is central to our More ❯

and risks. Review cloud and SaaS services for secure configuration, resilience, and vendor governance, using independent assurance to validate management's remediation. Apply data analytics for population testing and anomaly detection, develop repeatable scripts to increase coverage, report issues with clear severity, and track remediation while updating the IT risk assessment. Produce concise, risk-rated reports detailing More ❯

and efficiency. Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency. Develop and implement anomaly detection techniques and data-driven solutions to proactively identify and resolve system issues. Perform global metric comparisons across various device models. Lead teams, mentor colleagues, and communicate More ❯

identify emerging threats and relevant TTPs. Produce technical threat reports and briefings to inform security posture and decision-making. Conduct proactive threat hunting based on intelligence-led hypotheses and anomaly detection. Support risk assessments with insights from offensive operations and threat landscape analysis. Personal Specification: The below criteria will be scored during Shortlisting (S), Interview (I) or both (S More ❯

identify emerging threats and relevant TTPs. Produce technical threat reports and briefings to inform security posture and decision-making. Conduct proactive threat hunting based on intelligence-led hypotheses and anomaly detection. Support risk assessments with insights from offensive operations and threat landscape analysis. Personal Specification: The below criteria will be scored during Shortlisting (S), Interview (I) or both (S More ❯

Knowledge of products such as Arbor, Radwhere, Riverbed, A10, ExtraHop 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-on experience with tools like Wireshark More ❯

CheckPoint CCSE/CCSA). Strong understanding of IP networking, including LAN, WAN, and routing protocols (OSPF, BGP, RIP, MPLS). Experience managing network security technologies (e.g., firewalls, VPNs, anomaly detection). Proficiency in network monitoring and management tools such as SolarWinds, Tufin, and Hirschmann HiVision. Confident decision-making skills with the ability to balance operational, technical More ❯

Skills & Expectations: Strong expertise in AI safety tools (e.g., Responsible AI Toolbox, Deepchecks) Experience with LLM compliance testing frameworks Hands-on knowledge in: Prompt injection testing and AI behaviour anomaly detection Bias, fairness, and explain ability metrics for LLMs Audit trail generation, logging, and compliance reporting (GDPR/DSAR) Security risk mitigation in AI agent systems More ❯

Skills & Expectations: Strong expertise in AI safety tools (e.g., Responsible AI Toolbox, Deepchecks) Experience with LLM compliance testing frameworks Hands-on knowledge in: Prompt injection testing and AI behaviour anomaly detection Bias, fairness, and explain ability metrics for LLMs Audit trail generation, logging, and compliance reporting (GDPR/DSAR) Security risk mitigation in AI agent systems More ❯

improvement using front end monitoring tools and backend KPI data Turn KPI trends into a cohesive story and deliver high level summaries to executive management Develop automated alerting and anomaly detection systems Assist with A/B experimentation monitoring and reporting Produce and maintain KPI queries, dashboards, and reports What You'll Bring Expertise in complex data More ❯