Is the likelihood in Bayes’s theorem the same one in maximum likelihood estimation?

Question

section 1.5 in the book Rewrites Bayes’s theorem as

$P(H|D) = \dfrac{P(H)P(D|H)}{P(D)}$

and gives this explanation

p(D|H) is the probability of the data under the hypothesis, called the likelihood.

is this likelihood the same one in maximum likelihood estimation?