New AI postings mentioning ML Ops per week — 442 total over 12 weeks.
631 active AI roles across 123 companies mention ML Ops. Category: ML Ops & Evaluation.
ML Ops is a skill in the "ML Ops & Evaluation" category. It currently appears in 631 active AI roles across 123 companies in our index.
The top employers with active AI roles mentioning ML Ops are: Amazon (59), JPMorgan Chase (40), Deloitte (38), Adobe (31), Apple (30).
Over the last 12 weeks, 442 new AI postings mentioned ML Ops. Demand is rising — up 171% in the last four weeks compared to the earliest four weeks in the window.
Roles requiring ML Ops are concentrated in: agents (49%), serving infrastructure (20%), application (15%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
Job postings that mention ML Ops most often also require: Machine Learning, Python, Agentic Systems, Production ML Systems, Large Language Models (LLMs).
4 AI roles requiring this skill.
| Company | Title | Sector | AI score | Stage |
|---|---|---|---|---|
| MetLife | Principal Architect (AI, Cloud & Azure) | Insurance | 8 | L4 |
| MetLife | Senior AI Scientist | Insurance | 7 | L4 |
| Allstate | Senior AI Engineer | Insurance | 7 | L4 |
| Premera Blue Cross | AI Engineer IV | Insurance | 7 | L6 |