12 of 12 Remote/Hybrid Anomaly Detection Jobs in England

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

Monitor and evaluate emerging IAM trends (eg, 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. ...