I actually went the other way. My background is FEDGOV hurricane scientist who now works at a popular weather app after teaching myself the ML part. We do a lot of statistical modeling in meteorology already (mainly bias correction and downscaling), and I made the decision to move away from dynamics-based research to statistics-based applications since it's about to take over our field as well. I'd argue meteorology is one of the original big data problems, but I guess that's a topic for a different day.

Anyway, there are a bunch of meteorology companies that are using AI/ML for a variety of things. Since you said you were doing computer vision, identifying things in satellite imagery (Sentinel-2, LandSat, maybe even GOES) is very popular right now. It doesn't get you away from the core issues of tuning models, but maybe a different focus might work for you...?

I would just warn you that the pay in the field of meteorology sucks relative to BIG TECH.