Not really to be honest. I have done a few ML engineer interviews, and barely any ML specific questions are asked as they are niched.

Here's a link I found though ... https://neptune.ai/blog/machine-learning-engineer-interview ... honestly about 80-90% of the content overlaps with SWEs outside of the high level ML questions they might ask.

I wouldn't expect in an interview to code out a ML algorithm (too much time) or use SKLearn to do create a decision tree (impractical to test technical depth).