In order to avoid blocking the terminal, remove the last line from the above code, i.e.,

# ml_client.jobs.stream(job.name) # uncomment to make it synchronous and wait until job finishes

This is documented in the following tutorial:

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-component-pipeline-python?view=azureml-api-2

In this section:

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-component-pipeline-python?view=azureml-api-2#submit-the-pipeline-job-to-the-workspace