The OQML kernel method is used to infer force differences ∆F PBE0-LDA ML from the aSLATM 183 representations of chemical environments. The training set for the OQML model was generated by running PBE0 trajectories on condensed water and small water clusters. Both energies and forces were used in the training. The model demonstrated an out-of-sample mean absolute error of around 0.3 kcal/(mol Å) on |∆F PBE0-LDA ML |, as well as a mean absolute error of 0.7 degrees on force directions, based on a test set of 4800 atomic forces.