model monitoring jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, model monitoring appears in 942 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning model monitoring, with demand down 22% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
942
Demand vs prior month
down 22% vs the prior 4 weeks
Top role · 23.8% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about model monitoring

+Is model monitoring in demand in 2026?

Yes. model monitoring appears in 942 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 22% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning model monitoring (23.8% of all postings mentioning model monitoring).

+What jobs require model monitoring?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning model monitoring are ML Ops Engineer (14.6% of that role’s postings mention model monitoring), Quantitative Finance Analyst (13.6% of that role’s postings mention model monitoring), AI Director (12.0% of that role’s postings mention model monitoring).

+What skills are commonly paired with model monitoring?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), model monitoring most often appears alongside Python, machine learning, MLOps, model deployment, SQL.

+Where is model monitoring most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring model monitoring are San Francisco, London, New York City, Bengaluru, Boston, according to the Skillenai jobs index.

+How can I keep up with new model monitoring content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning model monitoring alongside the jobs index. You can subscribe to a daily email digest of new model monitoring content from your Skillenai account.

Weekly job postings requiring model monitoring — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Roles most likely to require model monitoring

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
ML Ops Engineer614.6%
Quantitative Finance Analyst313.6%
AI Director312.0%
Machine Learning Platform Engineer312.0%
ML Platform Engineer510.6%
Applied ML Engineer29.5%
Machine Learning Scientist139.4%
AI Engineering Director59.3%
MLOps Engineer158.8%
Machine Learning Manager28.7%

Roles with the most model monitoring postings

RolePostings mentioning skillShare of skill postings
Data Scientist22423.8%
Machine Learning Engineer15616.6%
ML Engineer434.6%
AI Engineer384.0%
Software Engineer353.7%
AI/ML Engineer181.9%
Solutions Architect161.7%
MLOps Engineer151.6%
Machine Learning Scientist131.4%
Data Science Manager121.3%

Top metros hiring for model monitoring

NamePostingsShare
San Francisco394.1%
London373.9%
New York City353.7%
Bengaluru171.8%
Boston151.6%
Toronto121.3%
Hyderabad111.2%
Singapore111.2%
Chicago101.1%

Skills commonly paired with model monitoring

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning model monitoring by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s model monitoring postings by all model monitoring postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).

source
Skillenai jobs index, deduplicated daily
entity_id
10f4a325e0b999a1
data_as_of
2026-09-28
window_days
90
Hiring engineers who use model monitoring?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index