2 of 2 Remote Anomaly Detection Jobs in Leeds

aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or Symfony, ensuring scalability for web and More ❯

business and technical stakeholders to support consumption forecasts, budget planning, and financial reporting. Lead on implementation of tooling and practices that allow for near real-time cloud cost monitoring, anomaly detection, and forecasting. Drive the use of automation and tagging policies to support cost attribution and operational transparency. Ensure FinOps capabilities are embedded across Continuous Integration/ More ❯