diff --git a/aeon/classification/distance_based/tests/test_proximity_forest.py b/aeon/classification/distance_based/tests/test_proximity_forest.py
index 9575177327..a107938000 100644
--- a/aeon/classification/distance_based/tests/test_proximity_forest.py
+++ b/aeon/classification/distance_based/tests/test_proximity_forest.py
@@ -11,7 +11,7 @@ def test_univariate():
     """Test that the function gives appropriate error message."""
     X, y = load_unit_test()
     X_multivariate = X.reshape((-1, 2, 12))
-    clf = ProximityForest(n_trees=5, random_state=42, n_jobs=-1)
+    clf = ProximityForest(n_trees=5)
     with pytest.raises(ValueError):
         clf.fit(X_multivariate, y)
 
@@ -20,7 +20,7 @@ def test_proximity_forest():
     """Test the fit method of ProximityTree."""
     X_train, y_train = load_unit_test()
     X_test, y_test = load_unit_test(split="test")
-    clf = ProximityForest(n_trees=5, n_splitters=3, max_depth=4)
+    clf = ProximityForest(n_trees=5, n_splitters=3, max_depth=4, random_state=42)
     clf.fit(X_train, y_train)
     y_pred = clf.predict(X_test)
     score = accuracy_score(y_test, y_pred)
diff --git a/pyproject.toml b/pyproject.toml
index 768a2d173f..8726769bb0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -64,7 +64,7 @@ all_extras = [
     "imbalanced-learn",
     "keras-self-attention",
     "kotsu>=0.3.1",
-    "matplotlib>=3.3.2",
+    "matplotlib>=3.3.2,<3.9.0",
     "pmdarima>=1.8.0",
     "prophet>=1.1.0",
     "pydot>=2.0.0",