The overlap in "deployment" between MLOps and Software engineering was hinted at in that well-known 2015 NeuriIPS paper, "Hidden Technical Debt in Machine Learning Systems":

"It may be surprising to the academic community to know that only a tiny fraction of the code in many ML systems is actually devoted to learning or prediction – see Figure 1"

https://papers.nips.cc/paper_files/paper/2015/hash/86df7dcfd...

PDF: https://papers.nips.cc/paper_files/paper/2015/file/86df7dcfd...