This session presents a practical framework for integrating machine learning into engineering workflows using AVEVA Unified Engineering and Microsoft ML.NET. Attendees will learn how to build and train models with minimal coding, improving design efficiency and workflow performance. The session also demonstrates how these models run directly within Unified Engineering, enabling advanced customization. This work lays the foundation for the subsequent HyperVelocity Customisation session, where the ML model drives design adaptability and automation.