diff --git a/AB_environments/AB_baseline.conda.yaml b/AB_environments/AB_baseline.conda.yaml
index d4da9c90f1..8812c65fb9 100644
--- a/AB_environments/AB_baseline.conda.yaml
+++ b/AB_environments/AB_baseline.conda.yaml
@@ -36,7 +36,7 @@ dependencies:
     - toolz ==0.12.0
     - zict ==3.0.0
     - xgboost ==1.7.4
-    - optuna ==3.2.0
+    - optuna ==3.3.0
     - scipy ==1.10.1
     - snowflake-connector-python ==3.0.4
     - snowflake-sqlalchemy ==1.4.7
diff --git a/AB_environments/AB_sample.conda.yaml b/AB_environments/AB_sample.conda.yaml
index bffb45a164..8a7cf8d9e1 100644
--- a/AB_environments/AB_sample.conda.yaml
+++ b/AB_environments/AB_sample.conda.yaml
@@ -41,7 +41,7 @@ dependencies:
     - toolz ==0.12.0
     - zict ==3.0.0
     - xgboost ==1.7.4
-    - optuna ==3.2.0
+    - optuna ==3.3.0
     - scipy ==1.10.1
     - snowflake-connector-python ==3.0.4
     - snowflake-sqlalchemy ==1.4.7
diff --git a/ci/environment.yml b/ci/environment.yml
index 3d5aa4a809..d54c831165 100644
--- a/ci/environment.yml
+++ b/ci/environment.yml
@@ -31,7 +31,7 @@ dependencies:
   - toolz ==0.12.0
   - zict ==3.0.0
   - xgboost ==1.7.4
-  - optuna ==3.2.0
+  - optuna ==3.3.0
   - scipy ==1.10.1
   - snowflake-connector-python ==3.0.4
   - snowflake-sqlalchemy ==1.4.7
diff --git a/tests/workflows/test_pytorch_optuna.py b/tests/workflows/test_pytorch_optuna.py
index e17aac777b..75639e45ba 100644
--- a/tests/workflows/test_pytorch_optuna.py
+++ b/tests/workflows/test_pytorch_optuna.py
@@ -4,7 +4,7 @@
 import zipfile
 
 import pytest
-from dask.distributed import PipInstall
+from dask.distributed import Lock, PipInstall, get_worker
 
 from ..utils_test import wait
 
@@ -47,23 +47,27 @@ def weights_init(m):
     def download_data():
         import s3fs  # FIXME: see above install w/ urllib3 - import here after reinstall
 
-        tmpdir = tempfile.gettempdir()
-        zip = pathlib.Path(tmpdir).joinpath("img_align_celeba.zip")
-        dataset_dir = zip.parent.joinpath("img_align_celeba")
-
-        if zip.exists():
-            print("Dataset already downloaded, returning dataset dir")
+        worker = get_worker()
+        with Lock(worker.address):
+            tmpdir = tempfile.gettempdir()
+            zip = pathlib.Path(tmpdir).joinpath("img_align_celeba.zip")
+            dataset_dir = zip.parent.joinpath("img_align_celeba")
+
+            if zip.exists():
+                print("Dataset already downloaded, returning dataset dir")
+                return dataset_dir
+
+            print("Downloading dataset...")
+            fs = s3fs.S3FileSystem(anon=True)
+            fs.download(
+                "s3://coiled-datasets/CelebA-Faces/img_align_celeba.zip", str(zip)
+            )
+
+            print(f"Unzipping into {dataset_dir}")
+            with zipfile.ZipFile(str(zip), "r") as zipped:
+                zipped.extractall(dataset_dir)
             return dataset_dir
 
-        print("Downloading dataset...")
-        fs = s3fs.S3FileSystem(anon=True)
-        fs.download("s3://coiled-datasets/CelebA-Faces/img_align_celeba.zip", str(zip))
-
-        print(f"Unzipping into {dataset_dir}")
-        with zipfile.ZipFile(str(zip), "r") as zipped:
-            zipped.extractall(dataset_dir)
-        return dataset_dir
-
     def get_generator(trial):
         import torch.nn as nn