diff --git a/freqtrade/optimize/hyperopt/hyperopt.py b/freqtrade/optimize/hyperopt/hyperopt.py
index ed404e923..70a85b30b 100644
--- a/freqtrade/optimize/hyperopt/hyperopt.py
+++ b/freqtrade/optimize/hyperopt/hyperopt.py
@@ -14,7 +14,7 @@ from pathlib import Path
 from typing import Any
 
 import rapidjson
-from joblib import Parallel, cpu_count
+from joblib import Parallel, cpu_count, delayed, wrap_non_picklable_objects
 
 from freqtrade.constants import FTHYPT_FILEVERSION, LAST_BT_RESULT_FN, Config
 from freqtrade.enums import HyperoptState
@@ -160,7 +160,9 @@ class Hyperopt:
 
             return self.hyperopter.generate_optimizer(*args, **kwargs)
 
-        return parallel(optimizer_wrapper(v) for v in asked)
+        return parallel(
+            delayed(wrap_non_picklable_objects(optimizer_wrapper))(v) for v in asked
+        )
 
     def _set_random_state(self, random_state: int | None) -> int:
         return random_state or random.randint(1, 2**16 - 1)  # noqa: S311
diff --git a/freqtrade/optimize/hyperopt/hyperopt_optimizer.py b/freqtrade/optimize/hyperopt/hyperopt_optimizer.py
index b04478841..53aa8f88d 100644
--- a/freqtrade/optimize/hyperopt/hyperopt_optimizer.py
+++ b/freqtrade/optimize/hyperopt/hyperopt_optimizer.py
@@ -11,7 +11,7 @@ from pathlib import Path
 from typing import Any
 
 import optuna
-from joblib import dump, load, delayed, wrap_non_picklable_objects
+from joblib import dump, load
 from joblib.externals import cloudpickle
 from optuna.exceptions import ExperimentalWarning
 from pandas import DataFrame
@@ -260,8 +260,6 @@ class HyperOptimizer:
                 # noinspection PyProtectedMember
                 attr.value = params_dict[attr_name]
 
-    @delayed
-    @wrap_non_picklable_objects
     def generate_optimizer(self, raw_params: dict[str, Any]) -> dict[str, Any]:
         """
         Used Optimize function.