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

As of 2026-09-28, model training appears in 1,142 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning model training, with demand down 44% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
1,142
Demand vs prior month
down 44% vs the prior 4 weeks
Top role · 24.2% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about model training

+Is model training in demand in 2026?

Yes. model training appears in 1,142 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 44% vs the prior 4 weeks. Machine Learning Engineer accounts for the most postings mentioning model training (24.2% of all postings mentioning model training).

+What jobs require model training?

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 training are ML Platform Engineer (29.8% of that role’s postings mention model training), Machine Learning Research Engineer (20.6% of that role’s postings mention model training), AI Research Scientist (15.0% of that role’s postings mention model training).

+What skills are commonly paired with model training?

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

+Where is model training most in demand?

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

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

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

Weekly job postings requiring model training — last 90 days

Salary distribution

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

Roles most likely to require model training

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 Research Engineer720.6%
AI Research Scientist1215.0%
Applied ML Engineer314.3%
Machine Learning Engineer27612.1%
Machine Learning Systems Engineer311.1%
AI Scientist910.6%
Lead Data Scientist1010.3%
ML Ops Engineer49.8%
Deep Learning Engineer39.1%

Roles with the most model training postings

RolePostings mentioning skillShare of skill postings
Machine Learning Engineer27624.2%
Software Engineer827.2%
ML Engineer766.7%
Data Scientist706.1%
Research Engineer363.2%
AI Engineer343.0%
Product Manager242.1%
AI/ML Engineer221.9%
Applied Scientist221.9%
Research Scientist161.4%

Top metros hiring for model training

NamePostingsShare
San Francisco1089.5%
New York City726.3%
London484.2%
Mountain View464.0%
Bengaluru262.3%
Seattle221.9%
San Jose181.6%
Singapore171.5%
Toronto161.4%

Skills commonly paired with model training

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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 training by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s model training postings by all model training 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
4ce76cc064979da3
data_as_of
2026-09-28
window_days
90
Hiring engineers who use model training?

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