diff --git a/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx b/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx
index 5a419d7487db1..e9043909de4f5 100644
--- a/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx
+++ b/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx
@@ -14,7 +14,7 @@ from ._bitset cimport in_bitset_2d_memoryview
 
 
 def _predict_from_raw_data(  # raw data = non-binned data
-        node_struct [:] nodes,
+        const node_struct [:] nodes,
         const X_DTYPE_C [:, :] numeric_data,
         const BITSET_INNER_DTYPE_C [:, ::1] raw_left_cat_bitsets,
         const BITSET_INNER_DTYPE_C [:, ::1] known_cat_bitsets,
@@ -34,7 +34,7 @@ def _predict_from_raw_data(  # raw data = non-binned data
 
 
 cdef inline Y_DTYPE_C _predict_one_from_raw_data(
-        node_struct [:] nodes,
+        const node_struct [:] nodes,
         const X_DTYPE_C [:, :] numeric_data,
         const BITSET_INNER_DTYPE_C [:, ::1] raw_left_cat_bitsets,
         const BITSET_INNER_DTYPE_C [:, ::1] known_cat_bitsets,
diff --git a/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py b/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py
index 23e76b4307b6f..31069fe14ee41 100644
--- a/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py
+++ b/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py
@@ -1165,15 +1165,7 @@ def _compute_partial_dependence_recursion(self, grid, target_features):
         return averaged_predictions
 
     def _more_tags(self):
-        return {
-            "allow_nan": True,
-            "_xfail_checks": {
-                "check_estimators_pickle": (
-                    "The memory views of the nodes parameter need to be defined"
-                    "as read only in the Cython implementation."
-                ),
-            },
-        }
+        return {"allow_nan": True}
 
     @abstractmethod
     def _get_loss(self, sample_weight):