A method for removing noise from spectral data recorded using a spectrometer. The method includes normalising spectral data to generate normalised spectral data and applying a machine learning model to the normalised spectral data. The machine learning model is trained to remove noise from spectral data using normalised training data, wherein the spectral data is normalised based on a different scaling to the normalisation of the training data.