MLOps is different from DevOps as it places a strong emphasis on efficient data management and model versioning, while DevOps prioritises overall application performance and reliability. MLOps specifically focuses on optimising model performance in production environments and implementing robust monitoring strategies. Additionally, it involves critical tasks such as automated testing and deployment, ensuring seamless integration between data science and software engineering workflows.