MLOps Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-11-04, Skillenai has indexed 194 job postings with the title “MLOps Engineer” over the past 90 days. The skill mentioned most often is Python, with demand share up 5.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-11-04
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Frequently asked questions about MLOps Engineer jobs
+How many MLOps Engineer jobs are being posted in 2026?
Skillenai has indexed 194 job postings with the title “MLOps Engineer” over the 90 days ending 2026-11-04.
+What skills do MLOps Engineer jobs require?
Across MLOps Engineer postings indexed by Skillenai over the 90 days ending 2026-11-04, the skills mentioned most often are Python, Kubernetes, CI/CD, MLOps, Docker.
+Which cities are hiring the most MLOps Engineer?
As of 2026-11-04, MLOps Engineer postings indexed by Skillenai are concentrated in London, Paris, Berlin, Bengaluru, New York City.
+Is MLOps Engineer a good career path right now?
Skillenai indexes 194 MLOps Engineer postings over the 90 days ending 2026-11-04. The skill mentioned most often in MLOps Engineer postings is Python, so building it gives the strongest signal that an applicant matches the role.
+How can I track new MLOps Engineer job postings as they’re indexed?
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+What roles do people move into and out of MLOps Engineer?
The career-flow chart shows roles before and after observed employer changes across all locations. Counts are moves, not distinct people or promotion probabilities. Same-role moves to another employer are included. The incoming and outgoing sides are separate groups of observations, not a matched three-stage journey.
Weekly indexed MLOps Engineer postings — last 90 days
Career paths through MLOps Engineer
Different-role employer moves. Each side is scaled independently.
Not enough linked career history to draw this chart yet.
Skills most often required for MLOps Engineer
| Name | Postings | Share |
|---|---|---|
| Python | 140 | 72.2% |
| Kubernetes | 128 | 66.0% |
| CI/CD | 112 | 57.7% |
| MLOps | 105 | 54.1% |
| Docker | 98 | 50.5% |
| MLflow | 84 | 43.3% |
| Terraform | 77 | 39.7% |
| AWS | 52 | 26.8% |
| GitHub Actions | 46 | 23.7% |
| Airflow | 44 | 22.7% |
| Kubeflow | 43 | 22.2% |
| Azure | 33 | 17.0% |
| SQL | 30 | 15.5% |
| monitoring | 28 | 14.4% |
| infrastructure as code | 27 | 13.9% |
Top companies posting MLOps Engineer jobs
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Pointwild | 7 |
| NVIDIA | 6 |
| Doctolib | 5 |
| Devoteam | 5 |
| Tripadvisor | 4 |
| Continental | 4 |
| Elsevier | 4 |
| Bosch | 4 |
| Autodesk | 3 |
| ICEYE | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring MLOps Engineer
| Name | Postings | Share |
|---|---|---|
| London | 12 | 6.2% |
| Paris | 11 | 5.7% |
| Berlin | 6 | 3.1% |
| Bengaluru | 5 | 2.6% |
| New York City | 4 | 2.1% |
| Hyderabad | 3 | 1.5% |
| San Francisco | 3 | 1.5% |
| Boulogne-Billancourt | 2 | 1.0% |
| Braga | 2 | 1.0% |
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-11-04, matching postings whose canonical role is “MLOps Engineer”. Pages refresh weekly (or daily for the top-50 most-posted roles). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- role
- MLOps Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-11-04
- window_days
- 90