Basically two options, spin the clearml-k8s-glue, as a k8s service.
This service takes clearml jobs and creates k8s job on your cluster.
The second option is to spin agents inside pods statically, then inside the pods the agent work in venv model.
I know the enterprise edition has more sophisticated k8s integration where the glue also retains the clearml scheduling capabilities.
https://github.com/allegroai/clearml-agent/#kubernetes-integration-optional