6 of 6 Remote/Hybrid Anomaly Detection Jobs in the Midlands

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 ...

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. ...

validation into Azure DevOps and GitHub pipelines. Develop monitoring-as-code and testing-as-code using Terraform. Create actionable dashboards, SLOs, SLIs, alerts and anomaly detection. Drive reliability improvements, performance investigations and root-cause analysis. What we're looking for Strong hands-on Datadog experience across Synthetic Monitoring ...

Commercial instinct: you talk in outcomes and recommend actions. A clear communicator who makes data easy for everyone. Desirable Experience building automated monitoring or anomaly detection is a big plus. Familiarity with mobile attribution and ad data. Why Kwalee? Generous Holiday: Start with 25 days of annual ...

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 ...