3 of 3 Anomaly Detection Jobs in the West Midlands

and freight trains to continuously monitor track geometry, ride comfort and vehicle performance. This approach enables real-time data collection without disrupting regular rail services, which enables early detection of track degradation and facilitating predictive maintenance strategies. Durham University is home to some of the most talented scholars and researchers from around the world who are tackling global … machine learning models for predictive maintenance in railway systems, working closely with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service trains. This data will be used to identify early signs of track and More ❯

transparency FinOps Tools Deployment - Manage cloud governance and FinOps tools to improve cost visibility and control Forecasting & Budgeting - Produce accurate cost projections and align cloud spend with financial planning Anomaly Detection - Identify and respond to cost anomalies to prevent unexpected budget spikes Reporting & Documentation - Prepare clear and comprehensive reports on cloud financial performance and optimisation measures Education More ❯

transparency FinOps Tools Deployment – Manage cloud governance and FinOps tools to improve cost visibility and control Forecasting & Budgeting – Produce accurate cost projections and align cloud spend with financial planning Anomaly Detection – Identify and respond to cost anomalies to prevent unexpected budget spikes Reporting & Documentation – Prepare clear and comprehensive reports on cloud financial performance and optimisation measures Education More ❯