Machine Learning (ML): is an application of Artificial Intelligence which allows systems to learn and improve from experience, rather than being manually programmed for each instance. DevOps: is a software engineering practice that aims to unify software development and software operation. Whilst DevOps has improved software development exponentially, from increasing both qualities to productivity, there are still limitations. The relationship between ML and DevOps is evident, and it is capable of enhancing organisations' ability to manipulate and analyse large amounts of data far more accurately and rapidly than a human engineer. ML is able to handle the volume, amount and variety of data through its agile capabilities to learn from and process data far quicker and more accurately than its human counterparts.