Profile likelihood maximizes over $\psi$, while Marginal likelihood integrates over $\psi$.

Profile likelihood integrates over $\psi$, while Marginal likelihood maximizes over $\psi$.

They are identical under all conditions when the sample size $n \to \infty$.

Profile likelihood only applies to GLMs, while Marginal likelihood applies to Bayesian models.