The paper is structured as follows. First, we give a brief overview of the EMLE scheme. Second, we describe the ML/MM embedding implementation and show how it can be coupled to the sander program from the AmberTools23 package. Then, we apply the framework to calculate the free energy surface (FES) of alanine dipeptide in water using different options for the in vacuo and embedding models and compare the results to a reference hybrid DFT/MM FES. Finally, we discuss the obtained results and provide our perspective on future work.