ml4ptp produces physically consistent pressure-temperature (PT) profiles that do not require explicit assumptions about the functional form of the PT profiles. Atmospheric retrievals (AR) of exoplanets typically rely on a combination of a Bayesian inference technique and a forward simulator to estimate atmospheric properties from an observed spectrum. A key component in simulating spectra is the PT profile, which describes the thermal structure of the atmosphere. AR pipelines commonly use ad hoc fitting functions here that limit the retrieved PT profiles to simple approximations, but still use a relatively large number of parameters. ml4ptp uses fewer parameters than other methods while achieving better fit quality and reducing computational cost.