I am running mlflow ui and PostgreSQL db in docker compose. Mlflow UI container runs like this: mlflow ui –backend-store-uri “postgresql+psycopg2://postgres:passw0rd@database:5432/postgres” –host 0.0.0.0 Then I run my models locally from jupyter, e.g. Everything works fine – experiments get logged into PostgreSQL and mlflow UI can read it from PostgreSQL . One thing that bothers me is that artifacts are stored