Pivoting to a Machine Learning Engineer (MLE) is a rewarding transition, especially in the current tech landscape. Transition steps include gaining basics from resources like "Designing Machine Learning Systems", performing trial ML projects to gauge interest, and considering MLOps roles that focus on deploying and managing models, reducing the need to delve deeply into mathematical aspects.