diff --git a/CHANGELOG.md b/CHANGELOG.md
index 95737bbb..4e79ec32 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,10 +13,11 @@
 - Change the test in `_generate_kedro_command` to accept both empty `Iterable`s(default in CLI mode) and `None` values (default in interactive mode) ([#50](https://github.com/Galileo-Galilei/kedro-mlflow/issues/50))
 - Force to close all mlflow runs when a pipeline fails. It prevents further execution of the pipeline to be logged within the same mlflow run_id as the failing pipeline. ([#10](https://github.com/Galileo-Galilei/kedro-mlflow/issues/10))
 - Fix various documentation typos ([#34](https://github.com/Galileo-Galilei/kedro-mlflow/pull/34), [#35](https://github.com/Galileo-Galilei/kedro-mlflow/pull/35), [#36](https://github.com/Galileo-Galilei/kedro-mlflow/pull/36) and more)
+- Fix a bug in `MlflowDataSet` which sometimes fails to log on remote storage (S3, Azure Blob storage) with underlying `log_artifacts` when the kedro's `AbstractDataset._filepath` wath a `pathlib.PurePosixPath` object instead of a string ([#74](https://github.com/Galileo-Galilei/kedro-mlflow/issues/74)).
 
 ### Changed
 
-- Remove `conda_env` and `model_name` arguments from `MlflowPipelineHook` and add them to `PipelineML` and `pipeline_ml`. This is necessary for incoming hook auto-discovery in future release and it enables having multiple `PipelineML` in the same project. [#58](https://github.com/Galileo-Galilei/kedro-mlflow/pull/58)
+- Remove `conda_env` and `model_name` arguments from `MlflowPipelineHook` and add them to `PipelineML` and `pipeline_ml`. This is necessary for incoming hook auto-discovery in future release and it enables having multiple `PipelineML` in the same project ([#58](https://github.com/Galileo-Galilei/kedro-mlflow/pull/58)). This mechanically fixes [#54](https://github.com/Galileo-Galilei/kedro-mlflow/issues/54) by making `conda_env` path absolute for airflow suppport.
 - `flatten_dict_params`, `recursive` and `sep` arguments of the `MlflowNodeHook` are moved to the `mlflow.yml` config file to prepare plugin auto registration. This also modifies the `run.py` template (to remove the args) and the `mlflow.yml` keys to add a `hooks` entry. ([#59](https://github.com/Galileo-Galilei/kedro-mlflow/pull/59))
 
 ### Deprecated
diff --git a/kedro_mlflow/io/mlflow_dataset.py b/kedro_mlflow/io/mlflow_dataset.py
index 5ee611b2..eb58cab5 100644
--- a/kedro_mlflow/io/mlflow_dataset.py
+++ b/kedro_mlflow/io/mlflow_dataset.py
@@ -23,7 +23,7 @@ def __new__(
 
         data_set, data_set_args = parse_dataset_definition(config=data_set)
 
-        # fake inheritance : this mlfow class should be a mother class which wraps
+        # fake inheritance : this mlflow class should be a mother class which wraps
         # all dataset (i.e. it should replace AbstractVersionedDataSet)
         # instead and since we can't modify the core package,
         # we create a subclass which inherits dynamically from the data_set class
@@ -41,6 +41,9 @@ def _save(self, data: Any):
                     if hasattr(self, "_version")
                     else self._filepath
                 )
+                # it must be converted to a string with as_posix()
+                # for logging on remote storage like Azure S3
+                local_path = local_path.as_posix()
 
                 super()._save(data)
                 if self.run_id: