There are quite a few ML memers here, even T4A (and me) are "Kaggle masters"
, it's a lot of fun to do those competitions and it was very educational, I would also suggest you do that. Also, I work at a lot of different companies and all banks I've seen use ML. Mostly at the retail side, modelling behaviour of people: credit rating, mortgage prepayment, advertising, savings accounts, etc. The people who do ML at banks are either quants who acquired skills on the job or IT/database people. The quants who do that have very good statistical skills, thy know about all the statistical test, calibration methods and their pitfalls, potential biases caused by subtle censoring biasses, how to prevent overfitting etc etc
I didn't respond earlier because I have a feeling you're maybe not to interested in ML other than career-wise? On the other hand you are young and pre-career and it's very understandable that you try to figure out what to do, and so I didn't want to be negative either.
My advice would be to follow your heart instead of a shiny ball that roll along. If your really interested in ML then you would already be experimenting with it I'd imagine? I can't think of any obstacle other than time? If you enjoy modelling empirical data then ML skill will evolve naturally and you'll have no trouble during future interview because you can talk about your passion. .. so I'd suggest you get started by yourself and don't focus on certificates just yet, focus on skills, e.g. measure them against peers during Kaggle competitions.
Sometimes you can also win $10k-$1mln during a competition, that's also handy..