3 of 3 Permanent Anomaly Detection Jobs in Manchester

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 ...

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 ...