Machine learning provides researchers a unique opportunity to make metabolic engineering more predictable. In this review, we offer an introduction discipline in terms that are relatable engineers, as well providing in-depth illustrative examples leveraging omics data and improving production. We also include practical advice for the practitioner of management, algorithm libraries, computationa...