drift detection jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-16, drift detection appears in 319 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand up 37% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-16
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Frequently asked questions about drift detection
+Is drift detection in demand in 2026?
Yes. drift detection appears in 319 job postings indexed by Skillenai over the 90 days ending 2026-09-16, with demand up 37% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (10% of Machine Learning Engineer postings list it).
+What jobs require drift detection?
According to the Skillenai jobs index over the 90 days ending 2026-09-16, the job titles most likely to require drift detection are Machine Learning Engineer (10% of postings list drift detection), Data Scientist (8% of postings list drift detection), Backend Engineer (5% of postings list drift detection).
+What skills are commonly paired with drift detection?
Across job postings indexed by Skillenai (90 days ending 2026-09-16), drift detection most often appears alongside Python, CI/CD, SQL, observability, monitoring.
+Where is drift detection most in demand?
As of 2026-09-16, the metro areas posting the most jobs requiring drift detection are San Francisco, London, New York City, Bengaluru, Seattle, according to the Skillenai jobs index.
+How can I keep up with new drift detection content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning drift detection alongside the jobs index. You can subscribe to a daily email digest of new drift detection content from your Skillenai account.
Weekly job postings requiring drift detection — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require drift detection
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 32 | 10.0% |
| Data Scientist | 25 | 7.8% |
| Backend Engineer | 17 | 5.3% |
| Software Engineer | 17 | 5.3% |
| AI Engineer | 15 | 4.7% |
| AI/ML Engineer | 12 | 3.8% |
| Product Manager | 12 | 3.8% |
| ML Engineer | 10 | 3.1% |
| Platform Engineer | 7 | 2.2% |
| Principal Product Manager | 6 | 1.9% |
Top metros hiring for drift detection
| Name | Postings | Share |
|---|---|---|
| San Francisco | 14 | 4.4% |
| London | 12 | 3.8% |
| New York City | 11 | 3.4% |
| Bengaluru | 7 | 2.2% |
| Seattle | 6 | 1.9% |
| Washington | 5 | 1.6% |
| Arlington | 4 | 1.3% |
| Dublin | 4 | 1.3% |
| Toronto | 4 | 1.3% |
Skills commonly paired with drift detection
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-16. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 4c6146b053b4f7a2
- data_as_of
- 2026-09-16
- 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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