To implement CI/CD for a machine learning model, I would automate the training pipeline using tools like Jenkins or GitLab CI to trigger retraining on new data. For deployment, I’d use containerization with Docker, and orchestration with Kubernetes to ensure consistency across environments and facilitate model rollback if necessary.