18 of 18 Anomaly Detection Jobs in the UK excluding London

technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support.The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering … machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation. Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods. Familiarity ...

alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support the use of analytics-led monitoring for anomaly detection and predictive fault identification. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge …/IP, BGP, OSPF, VLANs and optical networks. Familiarity with Grafana, Prometheus or similar observability tools. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Knowledge of SNMP, NetFlow/IPFIX or syslog pipelines would be useful. Scripting or automation ...

alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support the use of analytics-led monitoring for anomaly detection and predictive fault identification. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge …/IP, BGP, OSPF, VLANs and optical networks. Familiarity with Grafana, Prometheus or similar observability tools. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Knowledge of SNMP, NetFlow/IPFIX or syslog pipelines would be useful. Scripting or automation ...

thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational … VLANs and optical or fibre environments. Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Scripting or automation experience, such as Python or Bash, would be advantageous. Comfortable working ...

thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational … VLANs and optical or fibre environments. Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Scripting or automation experience, such as Python or Bash, would be advantageous. Comfortable working ...

lookups, event types, tags, and field extractions. · Integrate ITSI and Splunk Cloud with CMDB/ITSM systems, webhook automation, and AIOps/ML-based anomaly detection frameworks. · Troubleshoot slow or high-latency searches, identify bottlenecks, and implement best-practice SPL optimization. · Develop, optimize, and maintain advanced … proficiency in SPL, search optimization, and dashboard development. · Deep experience with ITSI, including service modelling, KPIs, thresholds, NEAP, and Service Analyzer. · Experience with MLTK, anomaly detection, forecasting, and operationalizing ML models. · Strong understanding of observability concepts (logs, metrics, traces, golden signals). · Hands-on experience with data ...

Scale Up Consultancy, is building the execution layer of an agentic decisioning powered by specialised predictive agents: → Demand forecasting → Churn modelling → Propensity scoring → Anomaly detection What makes this different Your models won’t sit in isolation. They’ll live inside agentic workflows where they must be: Explainable … engineering at scale Embedding ML into agent-based systems Core stack Python · scikit-learn · MLflow · SQL · Docker · Feature Stores Nice to have Explainable AI · Anomaly Detection · LLM/NLP integration · Real-time inference ...

cost. Leverage AIOps and observability tools (e.g. Dynatrace, Datadog, New Relic, Elastic) to proactively monitor service health and performance. Utilise predictive alerting and anomaly detection to prevent incidents and optimise delivery priorities. Coordinate across internal teams, vendors, and stakeholders to ensure seamless delivery. Client Communication ...

infrastructure everything else depends on. Intelligence is the layer above the data - AI-powered insights, predictive models built on Databricks and Snowflake, anomaly detection, and agentic features. This is a full-stack role. You'll own features from the data layer to the customer-facing interface. ...

diverse global markets, ensuring metrics account for regional regulatory and language differences. Advanced Analytics & AI: Leverage Python and Gen AI tools to automate anomaly detection, summarization, and recurring insight generation. Root Cause Discovery: Conduct deep-dives into the end-to-end customer journey to uncover friction points ...

Augmented Infrastructure & Operations Lead the integration of AI and ML across networking and operational domains including: AIOps Predictive analytics Autonomous remediation AI-driven anomaly detection Threat intelligence Capacity forecasting Configuration intelligence Architect infrastructure capable of supporting large-scale AI training and inference workloads. Advance observability strategies using ...

capacity planning for peak events. Optimise performance and cost across hybrid environments through right-sizing, forecasting, and resource governance. Apply AI-driven tooling for anomaly detection, operational optimisation, and compliance automation. Collaborate cross-functionally, maintain documentation, and promote DevOps best practices. Required Experience & Skills: 5+ years ...

What You'll Need: * The ability to demonstrate your extensive experience in designing and configuring the following within Dynatrace: o Application performance monitoring o Anomaly detection profiles o Alerting rules and alert profiles o Synthetic monitoring o Log monitoring o Real User Monitoring (RUM) to capture ...

their outputs usable for downstream systems and training our Delivery Team for field deployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure ...

performance, scalability, and high-volume data ingestion.The platform receives telemetry from environmental sensors (including infrared and visual monitoring devices) deployed across critical infrastructure sites. Anomaly detection triggers high-volume data transmission to the platform, which is used to generate actionable condition reports for customers — for example, identifying ...

review observability standards. Technical knowledge: * The ability to demonstrate your extensive experience in designing and configuring the following within Dynatrace:o Application performance monitoringo Anomaly detection profileso Alerting rules and alert profileso Synthetic monitoringo Log monitoringo Real User Monitoring (RUM) to capture and analyse end-user experience ...

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 ...

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 ...