This paper presents the design and implementation of ProxiML -- a novel quantum machine learning classifier for photonic quantum computing devices with multiple noise-aware design elements for effective model training and inference. Our extensive evaluation on a photonic device (Xanadu X8 machine) demonstrates the effectiveness of ProxiML machine learning classifier (over 90\% accuracy on a real machine for challenging four-class classification tasks).