Are there some textbooks that take a primarily engineering approach to machine learning (as opposed to a "scientific" approach)? [D]

As someone who studied stats undergrad and industrial engineering operations research grad, and who thinks about the practical business of ML components in software....

I get lost and a bit hopeless when I think about how to make useful software out of ML models in a reasonable amount of time, and in the current business environment.

And when I look at the businesses where I have worked that have mountains of middle management running tiny bits of the ML model lifecycle (think feature extraction, data ingestion and integration, training infra, hosting infra, more hosting infra, applied science)... that only makes my head hurt even more.

How do you go about making practical software out of ML components?

Edit: I should mention that I mean from scratch ML components, not just a call to a third party hosted tool.