diff --git a/docs/source/v1.5.md.inc b/docs/source/v1.5.md.inc
index cdafca0d3..5522271b1 100644
--- a/docs/source/v1.5.md.inc
+++ b/docs/source/v1.5.md.inc
@@ -50,4 +50,5 @@ All users are encouraged to update.
 - Fixed bug with parallelization across runs for Maxwell filtering (#761 by @larsoner)
 - Fixed bug where head position files were not written with a proper suffix and extension (#761 by @larsoner)
 - Fixed bug where default values for `decoding_csp_times` and `decoding_csp_freqs` were not set dynamically based on the config parameters (#779 by @larsoner)
+- Fixed bug where the MNE logger verbosity was not respected inside parallel jobs (#813 by @larsoner)
 - A number of processing steps erroneously **always** operated on un-cleaned epochs (`sensor/decoding_full_epochs`, `sensor/decoding_time_by_time`, `sensor/decoding_csp`); or operated on un-cleaned epochs (without PTP rejection) if no ICA or SSP was requested (`sensor/ime_frequency`, `sensor/make_cov`) The bug in `sensor/make_cov` could propagate to the source level, as the covariance matrix is used for inverse modeling. (#796 by @hoechenberger)
\ No newline at end of file
diff --git a/mne_bids_pipeline/_parallel.py b/mne_bids_pipeline/_parallel.py
index 12f70cf57..e79ae5151 100644
--- a/mne_bids_pipeline/_parallel.py
+++ b/mne_bids_pipeline/_parallel.py
@@ -4,6 +4,7 @@
 from types import SimpleNamespace
 
 import joblib
+from mne.utils import use_log_level, logger as mne_logger
 
 from ._logging import logger, gen_log_kwargs, _is_testing
 
@@ -127,19 +128,21 @@ def get_parallel_backend(exec_params: SimpleNamespace) -> joblib.parallel_backen
 
 
 def parallel_func(func: Callable, *, exec_params: SimpleNamespace):
-    if get_parallel_backend_name(exec_params=exec_params) == "loky":
-        if get_n_jobs(exec_params=exec_params) == 1:
-            my_func = func
-            parallel = list
-        else:
-            from joblib import Parallel, delayed
-
-            parallel = Parallel()
-            my_func = delayed(func)
-    else:  # Dask
+    if (
+        get_parallel_backend_name(exec_params=exec_params) == "loky"
+        and get_n_jobs(exec_params=exec_params) == 1
+    ):
+        my_func = func
+        parallel = list
+    else:  # Dask or n_jobs > 1
         from joblib import Parallel, delayed
 
         parallel = Parallel()
-        my_func = delayed(func)
+
+        def run_verbose(*args, verbose=mne_logger.level, **kwargs):
+            with use_log_level(verbose=verbose):
+                return func(*args, **kwargs)
+
+        my_func = delayed(run_verbose)
 
     return parallel, my_func