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Measured market guide

MLOps engineer

· 5 min read · Figures from live job ads

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MLOps engineer is a small title in this catalogue: 136 live postings titled MLOps, ML platform or ML infrastructure are open, against 652 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 October 2026.

The number this article rests on: 119 of 136 live postings titled MLOps, ML platform or ML infrastructure build AI, and 65 publish a USD salary range. Measured October 2026.

Level rates every posting from 1 to 4 on how central AI is to the work. Little AI means AI is absent from the work, or only decorative; Builds AI (AI 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, 133 of 136 postings titled MLOps, ML platform or ML infrastructure work on or build AI, meaning AI is central to the role, and 3 sit at Little AI. Measured October 2026.

The Builds AI 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 $263,000 and a median floor of $184,000 on 65 USD ranges. Machine learning engineer titles show $265,675 on 270, so the narrower title pays level with the broader one. Measured October 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: 50 of 136 postings titled MLOps, ML platform or ML infrastructure, or 37%, are listed as remote, against 16.4% across all 168,899 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 October 2026.

How do you become an MLOps engineer?

Mostly from an engineering job, not from an entry posting: among 136 postings titled MLOps, ML platform or ML infrastructure, the intern or junior tag appears on 5 and the senior or lead tag on 106. Degree mentions, bachelor to PhD, appear in 39 of them. Measured October 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: 119 of 136 postings titled MLOps, ML platform or ML infrastructure, or 88%, build AI, and Builds AI postings show a median maximum of $264,000 on 3,445 USD ranges across the market. Measured October 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, 652 live postings are titled machine learning or ML engineer, against 136 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 October 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.

665 open roles match, 10 shown. Updated from live job ads.

Method

  • Scope: live postings in the Level catalogue whose title contains "MLOps", "ML platform" or "ML infrastructure", compared with titles containing "machine learning engineer" or "ML engineer".
  • Sample: 168,899 live jobs, of which 64,506 publish a salary and 44,243 publish it in USD.
  • Measured: October 2026, from the live catalogue at jobsbylevel.com, refreshed every six hours.
  • Currency: USD only, no conversions. Medians are on the posted maximum unless stated.
  • Not measured: equity and bonuses, which postings do not publish; job content beyond the title and the level rating; a posted range is not a guaranteed offer.

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