Computational efficiency is an important aspect of crystal structure prediction and its practical applications. As seen in the recent blind tests, the increasing use of high level quantum chemistry calculations for correcting initial CSP landscapes has led to dramatic increases in computational costs. Notably, these increasing costs are causing a disparity between researchers and groups that have access to large-scale computational resources and those that do not, and so limits the impact of these methods in polymorph screening, crystal engineering and materials discovery. In this context, accurate MLPs have arrived with fortuitous timing and with the potential to reduce the cost of organic CSP without compromising on the necessary high-level accuracy.