MLOps engineer is a small title in this catalogue: 41 live postings titled MLOps, ML platform or ML infrastructure are open, against 183 titled machine learning engineer. The broader title can cover the same production work, which shapes how to search and how to read the pay figures. Measured September 2026.
The number this article rests on: 35 of 41 live postings titled MLOps, ML platform or ML infrastructure score Level 4, and 26 publish a USD salary range. Measured September 2026.
Level scores every posting from 1 to 4 on how central AI is to the work. Level 1 means AI is a tool mentioned in passing; Level 4 means building or running AI systems is the job. Infrastructure roles for models can land anywhere on that scale, depending on how much of the platform serves AI workloads, which is why the level split below matters as much as the title.
The title is less common than machine learning engineer in this catalogue. Employers also write ML platform engineer, ML infrastructure engineer or simply machine learning engineer for similar work, which is why this page counts several titles together and shows the broader title next to it.
What does an MLOps engineer do?
An MLOps engineer builds and runs the systems that train, deploy and monitor models: pipelines, serving, evaluation and shared platforms. Here, 38 of 41 postings titled MLOps, ML platform or ML infrastructure score Level 3 or 4, meaning AI is central to the role, and 2 sit at Level 1. Measured September 2026.
The Level 4 page lists every posting where building AI is the whole job, MLOps included. The job list at the end searches the word MLOps in the full text, so it can include postings filed under other titles. For the full map of AI roles by function, see what type of jobs are in AI.
How much does an MLOps engineer make?
MLOps, ML platform and ML infrastructure titles show a median maximum of $291,000 and a median floor of $202,900 on 26 USD ranges. Machine learning engineer titles show $275,000 on 84, so the narrower title pays above the broader one. Measured September 2026.
Ranges are base salary as printed in the posting, in USD, with both bounds stated. The machine learning engineer salary guide goes deeper on the broader title, by level and by category.
Are MLOps engineer jobs remote?
Remote share, measured: 21 of 41 postings titled MLOps, ML platform or ML infrastructure, or 51%, are listed as remote, against 48.8% across all 26,799 live postings. With a sample this small, a handful of new postings can move that share, so the software engineering hub is the wider view. Measured September 2026.
How do you become an MLOps engineer?
Mostly from an engineering job, not from an entry posting: among 41 postings titled MLOps, ML platform or ML infrastructure, the intern or junior tag appears on 0 and the senior or lead tag on 32. Degree mentions, bachelor to PhD, appear in 9 of them. Measured September 2026.
The route overlaps with the one described in how to become an AI engineer: an engineering job first, then one AI system owned end to end, with deployment and monitoring as the focus. Backend, data or infrastructure work is the natural step before, an editorial reading rather than a measure: postings list what they want, not where hires came from.
Is MLOps a good career?
On the measures postings allow, the role sits close to the core of AI work: 35 of 41 postings titled MLOps, ML platform or ML infrastructure, or 85%, score Level 4, and Level 4 postings show a median maximum of $315,360 on 827 USD ranges across the market. Measured September 2026.
Whether a career is good depends on more than a posting can show: growth, stability and the work itself are not measured here. What the catalogue can add is freshness, since it is refreshed every six hours and the figures above move with it.
Which title has more openings, MLOps or machine learning engineer?
On this snapshot, 183 live postings are titled machine learning or ML engineer, against 41 postings titled MLOps, ML platform or ML infrastructure. The two titles can describe overlapping work, so searching both gives a fuller picture of MLOps openings than the narrow title alone. Measured September 2026.
Research-leaning engineers can compare the research scientist salary guide, where research engineer titles are measured on the same rules.
The jobs right now
Postings that mention MLOps in the title, the tools or the description, newest first. Generated from the catalogue, not written by hand.
