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2026 skill intelligence

MLOps

Which roles require it and how much it matters — mapped across real job-role profiles.

Short answer: MLOps is asked for by 3 of the 103 job-role profiles Skilture maps — most heavily by Machine Learning Engineer, AI Engineer and Data Scientist.

Source: Skilture's 103 job-role profiles · Updated

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MLOps snapshot103 roles mapped
Roles that list it
3 of 103
Core requirement
Supportingcomplementary skill
Skill type
Technicalhard, teachable
Where it is asked for

Who hires for MLOps?

The roles in Skilture's catalogue that list MLOps, and how heavily each one weights it.

Targeting one of these roles? Grab the ATS resume keywords:

In the interview

How interviewers test MLOps

Real questions from Skilture's interview banks, with what the interviewer is listening for.

  1. Machine Learning Engineer · advanced

    What does MLOps add on top of standard DevOps for a model in production?

    Listen for: Look for data and model versioning, retraining pipelines, drift monitoring, and reproducibility, not just CI/CD. Treating a model like a static binary that never degrades is a red flag.

What it pays · United States

What roles that use MLOps pay in the US

Annual wages in US dollars for the roles above: median, and the 10th–90th percentile range.

RoleMedianRange
AI Engineer$135,980$82,460 – $214,670
Machine Learning Engineer$135,980$82,460 – $214,670
Data Scientist$120,230$67,240 – $199,130

United States, USD. Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics), 2025; each median links to its occupation. India (INR): no sourced figure for these roles yet, so none is shown.

Learn next

Skills that pair with MLOps

Employers hiring for MLOps most often ask for these alongside it.

FAQ

MLOps: common questions

Is MLOps worth learning in 2026?
MLOps is listed in 3 of the 103 job-role profiles Skilture maps. Explore the roles above to see where it matters most, then run a free skill gap analysis to see if you already have it.
Which jobs require MLOps?
Roles that ask for MLOps include AI Engineer, Data Scientist, Machine Learning Engineer. You can check how your own skills match any of these roles with Skilture's free skill gap analysis — no signup required.
How do interviewers test MLOps?
A typical question, from Machine Learning Engineer interviews: "What does MLOps add on top of standard DevOps for a model in production?" What the interviewer listens for: Look for data and model versioning, retraining pipelines, drift monitoring, and reproducibility, not just CI/CD. Treating a model like a static binary that never degrades is a red flag.

Is MLOps on your resume?

Upload your resume and see how your skills — including MLOps — stack up against your target role. Free, private, 60 seconds.