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

Context

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.

Observations

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.

Core Question

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

Clarification

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