Abstract This paper presents the development, implementation, and field validation of a Data-Driven Model Predictive Control (DDMPC) system aimed at optimizing the production of subsea wells equipped with Electrical Submersible Pumping (ESP). The central objective is to maximize oil flow rate while maintaining safe operation within a complex window of dynamic constraints, which include limits on motor temperature, electric current, intake pressure, and axial thrust, among others. The methodology