MLOps jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, MLOps appears in 3,161 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning MLOps, with demand down 30% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about MLOps
+Is MLOps in demand in 2026?
Yes. MLOps appears in 3,161 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 30% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning MLOps (9.6% of all postings mentioning MLOps).
+What jobs require MLOps?
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 MLOps are MLOps Engineer (42.4% of that role’s postings mention MLOps), ML Ops Engineer (41.5% of that role’s postings mention MLOps), Machine Learning Platform Engineer (40.0% of that role’s postings mention MLOps).
+What skills are commonly paired with MLOps?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), MLOps most often appears alongside Python, CI/CD, machine learning, AWS, PyTorch.
+Where is MLOps most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring MLOps are London, San Francisco, Bengaluru, New York City, Boston, according to the Skillenai jobs index.
+How can I keep up with new MLOps content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning MLOps alongside the jobs index. You can subscribe to a daily email digest of new MLOps content from your Skillenai account.
Weekly job postings requiring MLOps — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require MLOps
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| MLOps Engineer | 72 | 42.4% |
| ML Ops Engineer | 17 | 41.5% |
| Machine Learning Platform Engineer | 10 | 40.0% |
| AI/ML Architect | 10 | 38.5% |
| AI Director | 7 | 28.0% |
| AI/ML Engineer | 73 | 22.7% |
| AI Engineering Director | 12 | 22.2% |
| AI Engineering Lead | 7 | 21.9% |
| AI Engineering Manager | 17 | 18.9% |
| AI Ops Engineer | 4 | 18.2% |
Roles with the most MLOps postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 305 | 9.6% |
| Machine Learning Engineer | 281 | 8.9% |
| AI Engineer | 265 | 8.4% |
| Software Engineer | 184 | 5.8% |
| ML Engineer | 157 | 5.0% |
| Forward Deployed Engineer | 96 | 3.0% |
| Data Engineer | 78 | 2.5% |
| AI/ML Engineer | 73 | 2.3% |
| MLOps Engineer | 72 | 2.3% |
| Solutions Architect | 58 | 1.8% |
Top metros hiring for MLOps
| Name | Postings | Share |
|---|---|---|
| London | 109 | 3.4% |
| San Francisco | 96 | 3.0% |
| Bengaluru | 81 | 2.6% |
| New York City | 72 | 2.3% |
| Boston | 46 | 1.5% |
| Hyderabad | 43 | 1.4% |
| Toronto | 39 | 1.2% |
| Singapore | 38 | 1.2% |
| Paris | 36 | 1.1% |
Skills commonly paired with MLOps
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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 MLOps by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s MLOps postings by all MLOps 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
- 2cfc0f11bc3395fb
- data_as_of
- 2026-09-28
- window_days
- 90
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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