MLOps jobs and hiring demand

Core and required roles are separated from contextual and optional mentions so the headline does not overstate job intent.

Explore MLOps by location

Select up to five markets; results and hiring evidence update together.

191core + required roles189context + optional mentions144remote-friendly▼ -20 this week

Employer concentration

EPAM accounts for 226 of 380 mentions (59%). The remaining 154 mentions span other employers.

View without top 1 employer →View without top 3 employers →

AI & Data · responsibility and evidence

MLOps market guide

MLOps applies delivery and operational practices to machine-learning systems. The work links data preparation, training, validation and deployment with reproducibility and monitoring. It is broader than serving a model and different from an isolated modelling experiment.

380 live roles43 hiring companies38% remote-friendly

Vacancy evidence map

Where MLOps carries hiring weight

Each segment represents roles where MLOps was parsed at that evidence tier. This keeps a required production skill separate from contextual stack language.

26 Core165 Required109 Supporting80 Optional

191core + required50% of mentions

8.8roles per company43 employers

Market interpretation

What MLOps demand means in practice

Describe the data and model lineage, the checks before promotion and the monitoring after deployment. Explain ownership across researchers, data engineers and platform teams. Show how a failed training run, a changed data distribution or a rejected model release was handled without losing the ability to reproduce a previous result.

ML & AI PlatformData Engineering

Technical references: MLOps reference ↗

Reading the market

Signals to look for

Look for responsibility for data and model lineage with reproducible runs.
Look for responsibility for validation and deployment promotion gates.
Look for responsibility for monitoring, rollback and retraining ownership.

Geographic demand

Top MLOps locations

India57 Ukraine36 United States35 Colombia29 Poland28 Georgia27 Mexico27 Chile25

Questions candidates ask

MLOps hiring FAQ

What work does MLOps represent?

What evidence should I provide for a MLOps role?

How MLOps appears in job requirements

Inferred from the title and requirement wording in 380 active roles; each role is counted once. Read the methodology.

Posting evidence, not a company-wide stack claim

Main / core: 7%(26)
Required: 43%(165)
Supporting / context: 29%(109)
Nice-to-have: 21%(80)

Skills mentioned with MLOps

A shared posting does not always require both skills. Explicit alternatives are counted separately.

AI339 together152 both required2 alternatives Machine Learning319 together141 both required11 alternatives Cloud268 together99 both required2 alternatives Python247 together102 both required AWS213 together92 both required Azure208 together91 both required

Role graph

Roles hiring for MLOps

Software Engineering 75 Machine Learning & AI 71 Strategy & Consulting 33 ML & AI Platform 29 Solution Architecture 24 AI Agents & Applications 21 DevOps & Platform 20 Data Engineering 18

Latest roles mentioning MLOps

Senior AI Evals Engineer

Context

Rubrik — Bengaluru, India

Senior Data Science Engineer

Context

Sombra — Ivano-Frankivsk, Ukraine; Kyiv, Ukraine; Lviv, Ukraine

Specialist Project Manager

Context

NICE — Pune, India

AI/Python Engineer

Required

Geniusee — Remote

Lead Data Scientist - Receive Risk

Context

Wise — London, UK

Senior AI Engineer (#5939)

Nice

N-iX — Ukraine

View all 380 roles mentioning MLOps →