Machine learning Ops is a practice similar to DevOps but focusing on automation for ML workflows. Kubeflow is an open source Kubernetes platform that allows you to run these workflows. Earlier this year a member of the Kubeflow community proposed using Tekton as the underlying workflow engine. This talk introduces the fundamentals of machine learning workloads and discusses the features we will need to add to Tekton to better support MLOps.