The development of rapid and accurate methodologies for obtaining TSs are required to provide a costeffective alternative to expensive QM calculations such as DFT. This chapter provides a comprehensive review of current ML methodologies that have been reported to predict TS geometries, which can be broadly categorised into distance matrix-based, SE(3)-equivariant and structure-free approaches.