Liquid accumulation in gas wells significantly restricts efficient natural gas extraction, presenting a substantial challenge in the industry. Hydraulic jet pumps, recognized for their simple design, lack of mechanical moving parts, and cost-effectiveness, are increasingly adopted to address this issue. However, jet pumps often exhibit limited operational efficiency, hindering broader application. This study aims to optimize the gas-liquid two-phase flow characteristics within jet pumps, enhancing both their operational efficiency and fluid discharge capacity. To achieve this, computational fluid dynamics (CFD) modeling was combined with advanced machine learning techniques. The research initially identified critical operational and structural parameters, such as the area ratio, power fluid pressure, gas volume fraction, nozzle-throat gap distance, throat length, and diffuser angle. A support vector machine (SVM) model, optimized by Bayesian methods, was then employed to predict the complex interactions among these parameters, facilitating targeted optimization. Subsequently, the NSGA-II multi-objective optimization algorithm was applied to simultaneously improve pump efficiency and discharge capacity, resulting in a Pareto optimal solution. Through detailed numerical simulations and validations, the study achieved significant performance enhancements. Specifically, the optimized jet pump configuration improved the liquid discharge rate from 42.05 m3/d to 55.24 m3/d, representing an increase of 31.40%. Additionally, operational efficiency improved from 26.50% to 30.46%, an increment of approximately 3.96 percentage points. The results conclusively demonstrate that combining numerical simulation techniques with optimized machine learning models can effectively address critical performance constraints in jet pumps. The proposed methodology not only significantly enhances fluid transport capacity but also notably improves energy efficiency. This approach provides practical insights and a robust framework for further improving hydraulic jet pump technology in complex gas-well discharge scenarios.