2 of 2 Contract Anomaly Detection Jobs in London

requirements for critical assets. Analyse and extend Dynatrace coverage across complex applications. Configure, optimise, and automate monitoring within the Dynatrace toolset. Provide AI-driven insights (via Davis AI) for anomaly detection, root cause analysis, and proactive recommendations. Support operational resilience by embedding observability standards and best practices. Engage in workshops with third-party suppliers to review and … improve observability standards. TECH STACK/REQUIREMENTS Strong expertise in Dynatrace (SaaS & On-Premises) including: Application Performance Monitoring Anomaly Detection Profiles Alerting Rules & Profiles Synthetic & Log Monitoring Real User Monitoring (RUM) DQL & Grail for advanced data analytics API integrations with complex systems Experience working in resilience/observability engineering. Strong communication skills and ability to work in More ❯

within oneAdvanced. • Design, develop, and deploy ETL strategy, design and executive to migrate Legacy finance data to Target. • Design, develop, and deploy predictive and prescriptive models (e.g., demand forecasting, anomaly detection, risk scoring, financial optimisation). • Build and manage end-to-end data pipelines using Azure Data Factory, Synapse, Dataverse, and Power BI. • Partner with oneAdvanced functional … oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial and HR data. • Support the development of a data-driven culture by mentoring analysts More ❯