Ones-filled arrays play a crucial role in machine learning for initializing weights in neural networks, simplifying debugging, and enhancing model learning. They are also essential in constructing identity matrices, data processing masks, and physical simulations. Understanding their versatility can significantly improve computational efficiency in programming tasks.