Model Lifecycle Management

Frequently asked questions

• What is Model Lifecycle Management and how common is it in AI job postings?

  Model Lifecycle Management is a skill in the "ML Ops & Evaluation" category. It currently appears in 275 active AI roles across 80 companies in our index.

• Which companies are hiring for Model Lifecycle Management?

  The top employers with active AI roles mentioning Model Lifecycle Management are: Amazon (46), JPMorgan Chase (21), Adobe (11), Microsoft (9), Capital One (9).

• Is demand for Model Lifecycle Management growing?

  Over the last 12 weeks, 186 new AI postings mentioned Model Lifecycle Management. Demand is rising — up 203% in the last four weeks compared to the earliest four weeks in the window.

• At which stage of AI development is Model Lifecycle Management used?

  Roles requiring Model Lifecycle Management are concentrated in: agents (47%), application (17%), serving infrastructure (15%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

• What skills are commonly paired with Model Lifecycle Management?

  Job postings that mention Model Lifecycle Management most often also require: Machine Learning, Large Language Models (LLMs), Data Science, Python, Agentic Systems.