GE in-house tool APOW (Automated Process and Optimization Workbench) is used across all GE businesses. It is used by design teams to develop workflows which enable them to create standard work for their calculation process to ensure knowledge capturing and reduce/eliminate human errors. APOW links these workflows to mathematical functions to execute Design of Experiments (DoE), Optimization and Uncertainty Quantification (UQ). In this project we want to extend the mathematical modelling capabilities of APOW, by implementing the latest Optimization and ML methodologies being currently developed by our academic partners. As a DTLP we work on technical tasks, like reviewing and integrating Optimization methodologies, advance in ML applied to engineering applications and have the opportunity to practice, lead project management and planning in the team.