diff --git a/CHANGELOG.md b/CHANGELOG.md
index 23ddce49..1fbfc4f9 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -4,6 +4,7 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 
 ## Unreleased
 ### Added
+- Add helper function to list CivisML models. (#314)
 - Allow the base URL of the CLI to be configured through the
   `CIVIS_API_ENDPOINT` environment variable, like the civis Python module. (#312)
 - Allow the CLI log level to be configured with the `CIVIS_LOG_LEVEL`
diff --git a/civis/ml/__init__.py b/civis/ml/__init__.py
index 1a0d1fb5..ab7895fe 100644
--- a/civis/ml/__init__.py
+++ b/civis/ml/__init__.py
@@ -1,3 +1,4 @@
 """Machine learning in Civis
 """
 from civis.ml._model import *  # NOQA
+from civis.ml._helper import *  # NOQA
diff --git a/civis/ml/_helper.py b/civis/ml/_helper.py
new file mode 100644
index 00000000..dcfdc9dc
--- /dev/null
+++ b/civis/ml/_helper.py
@@ -0,0 +1,60 @@
+from collections import namedtuple
+
+from civis import APIClient
+from civis.ml._model import _PRED_TEMPLATES
+
+__all__ = ['list_models']
+
+# sentinel value for default author value
+SENTINEL = namedtuple('Sentinel', [])()
+
+
+def list_models(job_type="train", author=SENTINEL, client=None, **kwargs):
+    """List a user's CivisML models.
+
+    Parameters
+    ----------
+    job_type : {"train", "predict", None}
+        The type of model job to list. If "train", list training jobs
+        only (including registered models trained outside of CivisML).
+        If "predict", list prediction jobs only. If None, list both.
+    author : int, optional
+        User id of the user whose models you want to list. Defaults to
+        the current user. Use ``None`` to list models from all users.
+    client : :class:`civis.APIClient`, optional
+        If not provided, an :class:`civis.APIClient` object will be
+        created from the :envvar:`CIVIS_API_KEY`.
+    **kwargs : kwargs
+        Extra keyword arguments passed to `client.scripts.list_custom()`
+
+    See Also
+    --------
+    APIClient.scripts.list_custom
+    """
+    if job_type == "train":
+        template_id_list = list(_PRED_TEMPLATES.keys())
+    elif job_type == "predict":
+        # get a unique list of prediction ids
+        template_id_list = list(set(_PRED_TEMPLATES.values()))
+    elif job_type is None:
+        # use sets to make sure there's no duplicate ids
+        template_id_list = list(set(_PRED_TEMPLATES.keys()).union(
+                            set(_PRED_TEMPLATES.values())))
+    else:
+        raise ValueError("Parameter 'job_type' must be None, 'train', "
+                         "or 'predict'.")
+    template_id_str = ', '.join([str(tmp) for tmp in template_id_list])
+
+    if client is None:
+        client = APIClient()
+
+    if author is SENTINEL:
+        author = client.users.list_me().id
+
+    # default to showing most recent models first
+    kwargs.setdefault('order_dir', 'desc')
+
+    models = client.scripts.list_custom(from_template_id=template_id_str,
+                                        author=author,
+                                        **kwargs)
+    return models
diff --git a/civis/ml/tests/test_helper.py b/civis/ml/tests/test_helper.py
new file mode 100644
index 00000000..7bc040ad
--- /dev/null
+++ b/civis/ml/tests/test_helper.py
@@ -0,0 +1,24 @@
+import pytest
+
+from civis.response import Response
+from civis.ml import list_models
+from civis.tests.mocks import create_client_mock
+
+
+def test_list_models_bad_job_type():
+    with pytest.raises(ValueError):
+        list_models(job_type="fake")
+
+
+def test_list_models():
+    resp = [Response({'id': 2834, 'name': 'RFC model'})]
+    m_client = create_client_mock()
+    m_client.scripts.list_custom.return_value = resp
+    out = list_models(job_type='train', client=m_client)
+    assert out == resp
+
+    out = list_models(job_type='predict', client=m_client)
+    assert out == resp
+
+    out = list_models(job_type=None, client=m_client)
+    assert out == resp