6 of 6 Anomaly Detection Jobs in Birmingham

software delivery lifecycle. Familiarity with OpenTelemetry, automation, Infrastructure as Code and modern engineering practices. Knowledge of AI-powered operations (AIOps), operational intelligence, event correlation, anomaly detection, and emerging AI capabilities within operations platforms. Ability to define how Generative AI, AI assistants and intelligent operational workflows can enhance ...

SLAs, KPIs, scope, and cost. Leverage AIOps and observability tools (e.g.Dynatrace, Datadog, New Relic, Elastic) to proactivelymonitorservice health and performance. Utilisepredictive alerting and anomaly detection to prevent incidents andoptimisedelivery priorities. Coordinate across internal teams, vendors, and stakeholders to ensure seamless delivery. Client Communication Act as the primary ...

users. Our AI solutions incorporate applications across the AI and machine learning spectrum, including but not limited to time series forecasting, anomaly detection, and natural language processing. Our mission is to lower the barrier for organizations and people to get value out of AI capabilities. Primary Duties ...

operability into delivery pipelines. Improve alert quality by reducing noise, optimising thresholds and linking alerts to actionable runbooks. Support the adoption of AIOps and anomaly detection capabilities to improve service restoration and predictive operations. Help define reliability standards, operational controls and best practices across the technology estate. ...

operability into delivery pipelines. Improve alert quality by reducing noise, optimising thresholds and linking alerts to actionable runbooks. Support the adoption of AIOps and anomaly detection capabilities to improve service restoration and predictive operations. Help define reliability standards, operational controls and best practices across the technology estate. ...

drive AI initiatives within the OneStream platform. The AI Product and Engineering team bridges AI research and products, focusing on time series forecasting, anomaly detection, and NLP to deliver tangible value for end users. The role involves designing scalable AI solutions, implementing robust systems, and collaborating with ...