  A phenomenological analysis of the experimental measurements of transverse
momentum spectra of identified charged hadrons and strange hyperons in Pb-Pb
and Xe-Xe collisions at the LHC is presented. The analysis is based on the
relativistic fluid dynamics description implemented in the numerically
efficient \textsc{Fluid{\it u}M} approach. Building on our previous work, we
separate in our treatment the chemical and kinetic freeze-out, and incorporate
the partial chemical equilibrium to describe the late stages of the collision
evolution. This analysis makes use of Bayesian inference to determine key
parameters of the QGP evolution and its properties including the shear and bulk
viscosity to entropy ratios, the initialisation time, the initial entropy
density, and the freeze-out temperatures. The physics parameters and their
posterior probabilities are extracted using a global search in multidimensional
space with modern machine learning tools, such as ensembles of neural networks.
We employ our newly developed fast framework to assess systematic uncertainties
in the extracted model parameters by systematically varying key components of
our analysis.
