<p>The continuous application of emerging technologies in enterprise financial intelligent management has had a profound impact on the reform of its system. The financial system that integrates emerging technologies is gradually gaining favor, and intelligent financial systems have become a consensus. Therefore, this article designs an enterprise financial intelligent management application system based on facial sensing recognition technology and machine learning algorithms. Firstly, this article analyzes the working principle of facial sensor recognition and the process of collecting sensing information. Conduct research on key technologies of wireless sensor networks. Secondly, the implementation of machine learning algorithms and learning task models was analyzed, and the network structure of the multi task model and the training mechanism used in the multi model fusion process were explained. This is of great significance for improving the task association prediction accuracy of the ultimately generated multi-task model and reducing the total spatiotemporal resource consumption during the fusion process. Finally, this article utilizes facial sensing information collection technology and machine learning task models to design and implement an intelligent financial management system for enterprises. The implementation of this system provides reference for the construction of an intelligent financial system for enterprises.</p>