diff --git a/src/lightning/pytorch/loggers/mlflow.py b/src/lightning/pytorch/loggers/mlflow.py
index 02396d8021633..2c12c942f701e 100644
--- a/src/lightning/pytorch/loggers/mlflow.py
+++ b/src/lightning/pytorch/loggers/mlflow.py
@@ -363,7 +363,7 @@ def _scan_and_log_checkpoints(self, checkpoint_callback: ModelCheckpoint) -> Non
             aliases = ["latest", "best"] if p == checkpoint_callback.best_model_path else ["latest"]
 
             # Artifact path on mlflow
-            artifact_path = Path(self._checkpoint_path_prefix) / Path(p).stem
+            artifact_path = Path(self._checkpoint_path_prefix, Path(p).stem).as_posix()
 
             # Log the checkpoint
             self.experiment.log_artifact(self._run_id, p, artifact_path)
diff --git a/tests/tests_pytorch/loggers/test_mlflow.py b/tests/tests_pytorch/loggers/test_mlflow.py
index 8118349ea6721..0800ce16de332 100644
--- a/tests/tests_pytorch/loggers/test_mlflow.py
+++ b/tests/tests_pytorch/loggers/test_mlflow.py
@@ -95,6 +95,7 @@ def test_mlflow_run_name_setting(tmp_path):
     if not _MLFLOW_AVAILABLE:
         pytest.skip("test for explicit file creation requires mlflow dependency to be installed.")
 
+    import mlflow
     from mlflow.utils.mlflow_tags import MLFLOW_RUN_NAME
 
     resolve_tags = _get_resolve_tags()
@@ -121,6 +122,8 @@ def test_mlflow_run_name_setting(tmp_path):
     default_tags = resolve_tags(None)
     client.create_run.assert_called_with(experiment_id="exp-id", tags=default_tags)
 
+    mlflow.set_tracking_uri(None)
+
 
 @mock.patch("lightning.pytorch.loggers.mlflow._get_resolve_tags", Mock())
 def test_mlflow_run_id_setting(mlflow_mock, tmp_path):
@@ -177,8 +180,10 @@ def test_mlflow_logger_dirs_creation(tmp_path):
     if not _MLFLOW_AVAILABLE:
         pytest.skip("test for explicit file creation requires mlflow dependency to be installed.")
 
+    import mlflow
+
     assert not os.listdir(tmp_path)
-    logger = MLFlowLogger("test", save_dir=str(tmp_path))
+    logger = MLFlowLogger("test", save_dir=str(tmp_path), log_model=True)
     assert logger.save_dir == str(tmp_path)
     assert set(os.listdir(tmp_path)) == {".trash"}
     run_id = logger.run_id
@@ -208,7 +213,12 @@ def on_train_epoch_end(self, *args, **kwargs):
     assert "epoch" in os.listdir(tmp_path / exp_id / run_id / "metrics")
     assert set(os.listdir(tmp_path / exp_id / run_id / "params")) == model.hparams.keys()
     assert trainer.checkpoint_callback.dirpath == str(tmp_path / exp_id / run_id / "checkpoints")
-    assert os.listdir(trainer.checkpoint_callback.dirpath) == [f"epoch=0-step={limit_batches}.ckpt"]
+    ckpt_stem = f"epoch=0-step={limit_batches}"
+    assert os.listdir(trainer.checkpoint_callback.dirpath) == [f"{ckpt_stem}.ckpt"]
+    artifacts = mlflow.artifacts.list_artifacts(run_id=logger.run_id)
+    assert [file_info.path for file_info in artifacts] == [ckpt_stem]
+
+    mlflow.set_tracking_uri(None)
 
 
 @mock.patch("lightning.pytorch.loggers.mlflow._get_resolve_tags", Mock())