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Current generations of gravitational wave interferometers are already seeing the adverse impact of thermal distortions reducing stored optical power through wavefront distortions and controllability of the detector, ultimately reducing their sensitivity to astrophysical signals. Although these interferometers have many actuators to fix wavefronts errors they could benefit with additional sensors that can efficiently guide us to optimal operating points for them. In this talk we'll look at high resolution radio-frequency wavefront sensing scheme using phase cameras, along with new modelling and machine learning tools to complement them. When combined, these tools will offer new insights into the internal state of our interferometers and inform us how best to optimise them.