Neuronify

MLOps (ML platform)

The engineering that gets models into production and keeps them there: deployment, versioning, monitoring, and the platform other teams build on.

Hiring data as of September 20, 2026 · refreshed daily

companies naming it
13 of 47companies naming it
open roles naming it
21open roles naming it
of those based in NYC
9of those based in NYC
median posted base (n=8)
$215kmedian posted base (n=8)

What MLOps means

MLOps applies the disciplines of software operations to machine learning: reproducible training, model registries, automated deployment, monitoring for drift, and rollback. In companies with several model-building teams it becomes an internal platform.

The LLM era changed the contents more than the job. There is less training pipeline to manage when the model is someone else’s API, and more evaluation, prompt and version management, cost tracking, and observability across multi-step agent runs.

MLOps in New York job posts

13 of the 47 New York AI companies we track name MLOps in at least one open role today, across 21 postings. 9 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 81% of the postings that name it are Engineering roles.

How to read it

We match the platform phrasing too — “ML platform”, “ML infrastructure”, “model serving” — since few postings say MLOps outright. It signals a company past its first model and now paying for the absence of tooling. A good role for strong backend or infrastructure engineers moving toward AI.

What these roles pay

$178k25th percentile
$215kMedian
$254k75th percentile

Midpoints of 8 distinct salary ranges posted on New York roles that name MLOps. Base salary only; on-target earnings are excluded, and a range repeated across one company’s postings counts once. For comparison, the median across all New York engineering postings is $215k. A term’s pay reflects the roles that name it as much as the skill itself — see the role mix below before reading a premium into it. Full bands by function and seniority are in the NYC salary calculator.

Trend

We began extracting this term from posting text on September 20, 2026. Job descriptions disappear when a role is filled, so the series cannot be backfilled; a trend line appears here once a week of data exists.

Who names it

Open roles naming MLOps, by company.

Also: SmarterDx.

Which roles

The same postings, by function and by seniority.

  • Engineering17
  • GTM2
  • Product1
  • Operations1
  • Mid11
  • Staff/Principal7
  • Senior2
  • Manager1

Named alongside MLOps

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 13 companies pair the two.

Open roles naming MLOps

A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.

On the AI in NYC Show

How this is counted

Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.

The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.

Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.

MLOps — common questions

What does MLOps mean in an AI job posting?

The engineering that gets models into production and keeps them there: deployment, versioning, monitoring, and the platform other teams build on. We match the platform phrasing too — “ML platform”, “ML infrastructure”, “model serving” — since few postings say MLOps outright. It signals a company past its first model and now paying for the absence of tooling. A good role for strong backend or infrastructure engineers moving toward AI.

How many New York AI companies are hiring for MLOps?

As of September 20, 2026, 13 of the 47 New York AI companies we track name MLOps in the description of at least one open role, across 21 postings (9 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for MLOps pay in New York?

Across 8 distinct posted salary ranges on New York roles naming MLOps, the median midpoint is $215k base, with the middle half between $178k and $254k. The same figure for all New York engineering postings is $215k. These are employer-posted ranges required by New York’s pay transparency law, base salary only.

Which skills are asked for alongside MLOps?

In the same postings, the terms most distinctively paired with MLOps are LangGraph, RAG, Vector search, Prompt engineering, Fine-tuning. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.

Need someone who has actually shipped this?

A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.

Start a project briefJoin the expert network