In recent years, machine learning potentials (MLPs) have become a popular solution for mitigating the computational cost associated with traditional ab initio methods. In this ap-proach, MLPs, typically neural networks, are parameterized to predict forces of quantum calculations with speed-ups of two to three orders of magnitude. From pioneering MLPs based on invariant features, such as the Behler-Parrinello networks, or kernel-based approaches like the Gaussian Approximation Potential (GAP), to more recent equivariant graph neural networks, such as NequIP and MACE, MLPs have demonstrated their effectiveness in addressing a range of molecular problems. In particular, DeePMD is a conceptual evolution of the original network by Behler and Parrinello. It uses the local geometric environment to create a local descriptor followed by a feedforward neural network to predict energies and forces from ab initio calculations. While DeepMD is one of the most computationally efficient MLPs available, it has also demonstrated an ability to reliably reproduce and predict the structural and dynamic properties of molecular systems in the condensed phase, including, but not limited to, the water phase diagram, combustion reactions, and reactions at interfaces. Electrolyte solutions have been studied for a long time by ab initio molecular dynamics, as well as by classical or polarizable force fields. More recently, MLPs have been effectively used to describe electrolyte systems, in particular molten salts, and to describe diffusion of ions in solid-state electrolytes. MLPs have also been recently used to investigate solvation effects, such as in works on solvation of ions 102 and on formation of carbonate. MLPs have the advantage of incorporating manybody polarization effects with quantum mechanical accuracy, at much cheaper computational costs, and without the need of explicit parametrization and calibration over mechanical polarization models. In this work, we develop a MLP for LiX in THF (X = Cl, Br, I) to expand our preliminary study on LiCl to a more complete exploration of the possible structures of LiX in THF at room temperature.