MLOps
MLOps noun: a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently.

Noun
MLOps (uncountable)
- A paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently.
- The goal of MLOps is to minimize the technical friction to get the model from an idea to production in the shortest possible time with high-quality predictive power and with as little risk as possible.2021, Hien Luu, Beginning Apache Spark 3, 2nd edition, Apress, →ISBN
Forms of MLOps
| alternative form | ML Ops |
|---|
Origin of MLOps
Blend of ML (“machine learning”) + DevOps.
Questions about MLOps
- What does MLOps mean?
- MLOps means a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently.
- What part of speech is MLOps?
- MLOps is a noun.
Words near MLOps in the dictionary
Source and license
Adapted from Wiktionary: MLOps (page history and authors). Text available under the Creative Commons Attribution-ShareAlike 4.0 license. Word.ws reformatted the entry and added links. Wiktionary data of 2026-09-02.
Last updated:
Cite this entry: “MLOps.” Word.ws, https://word.ws/mlops. Based on Wiktionary, CC BY-SA 4.0.
