You might find the Sledgehammer tool for Isabelle quite interesting. It has been using machine learning techniques to find proofs automatically since at least 2013. It uses previous proof to learn how to select facts to send to off-the-shelf automated provers in order to discharge a goal.
See e.g. http://isabelle.in.tum.de/~blanchet/mash2.pdfOn issue I have with it, and that automated proof tools based on ML are going to have to solve, is that it's quite unpredictable. Even if it finds stunning proofs from time to time, it is hard to use an unpredictable tool efficiently.
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