MLflow deployment jobs
Bind a registered model to a job that evaluates, asks for approval and deploys when a new version appears.
Why it is worth watching
Model promotion with a human in the loop, without writing the orchestration yourself.
What Public Preview promises
Open to everyone and supported for production use, though it can still change. On by default, and an admin can turn it off.
| Who can use it | Everyone |
|---|---|
| Production use | Yes |
| Support | The support team |
| On by default | Yes, with an opt-out |
The definitions are Databricks' own, on its release types page. The label on this page is the one the feature's documentation states, last checked on 13 Sept 2026.
Where to read more
We wrote it up: MLflow deployment jobs — A deployment job binds a registered model to a Lakeflow job whose evaluation, approval and deployment tasks fire whenever a new model version appears, with a human gate in the middle. That page carries the Public Preview label while this entry does.