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

As of 2026-09-28, model deployment appears in 1,188 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning model deployment, with demand down 45% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
1,188
Demand vs prior month
down 45% vs the prior 4 weeks
Top role · 17.7% of skill postings
Top hiring metro
London

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Frequently asked questions about model deployment

+Is model deployment in demand in 2026?

Yes. model deployment appears in 1,188 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 45% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning model deployment (17.7% of all postings mentioning model deployment).

+What jobs require model deployment?

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 deployment are ML Platform Engineer (29.8% of that role’s postings mention model deployment), Machine Learning Infrastructure Engineer (18.2% of that role’s postings mention model deployment), ML Ops Engineer (12.2% of that role’s postings mention model deployment).

+What skills are commonly paired with model deployment?

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

+Where is model deployment most in demand?

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

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

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

Weekly job postings requiring model deployment — last 90 days

Salary distribution

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

Roles most likely to require model deployment

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

RolePostings mentioning skill% of role postings mentioning skill
ML Platform Engineer1429.8%
Machine Learning Infrastructure Engineer618.2%
ML Ops Engineer512.2%
Machine Learning Platform Engineer312.0%
Machine Learning Engineering Manager711.9%
MLOps Engineer1710.0%
Applied Data Scientist49.3%
AI Engineering Director59.3%
Machine Learning Engineer2048.9%
AI Deployment Lead28.3%

Roles with the most model deployment postings

RolePostings mentioning skillShare of skill postings
Data Scientist21017.7%
Machine Learning Engineer20417.2%
Software Engineer1139.5%
AI Engineer423.5%
ML Engineer403.4%
Forward Deployed Engineer231.9%
AI/ML Engineer221.9%
MLOps Engineer171.4%
Applied Scientist161.3%
ML Platform Engineer141.2%

Top metros hiring for model deployment

NamePostingsShare
London564.7%
San Francisco474.0%
New York City443.7%
Bengaluru282.4%
Singapore191.6%
Mountain View181.5%
Seattle161.3%
San Jose151.3%
Boston141.2%

Skills commonly paired with model deployment

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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 deployment by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s model deployment postings by all model deployment 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
59c33744dec18866
data_as_of
2026-09-28
window_days
90
Hiring engineers who use model deployment?

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