I'm not sure how much work you do in this area, but the only ML models that are pluggable and easily moved are ones that are relatively outdated, widespread, and thus provide little benefit over your competitors.

ML moves fast, and to keep up, you need to be using a flexible yet powerful framework or you will run into major slowdowns in implementation time. Tensorflow is that framework, and, by the way, it also happens to have the best support for actually deploying your models across datacenters.

Migrating your data into some cloud provider is irrelevant and consumes maybe 3% of the total effort involved. Data is maybe 10%, and the rest is developer/research time.