diff --git a/src/Endpoints/Ml.php b/src/Endpoints/Ml.php
index eeee93988..e8c35d551 100644
--- a/src/Endpoints/Ml.php
+++ b/src/Endpoints/Ml.php
@@ -2375,6 +2375,7 @@ public function startDatafeed(array $params = [])
 	 *     cache_size: string, // A byte-size value for configuring the inference cache size. For example, 20mb.
 	 *     number_of_allocations: int, // The total number of allocations this model is assigned across machine learning nodes.
 	 *     threads_per_allocation: int, // The number of threads used by each model allocation during inference.
+	 *     priority: string, // The deployment priority.
 	 *     queue_capacity: int, // Controls how many inference requests are allowed in the queue at a time.
 	 *     timeout: time, // Controls the amount of time to wait for the model to deploy.
 	 *     wait_for: string, // The allocation status for which to wait
@@ -2398,7 +2399,7 @@ public function startTrainedModelDeployment(array $params = [])
 		$url = '/_ml/trained_models/' . $this->encode($params['model_id']) . '/deployment/_start';
 		$method = 'POST';
 
-		$url = $this->addQueryString($url, $params, ['cache_size','number_of_allocations','threads_per_allocation','queue_capacity','timeout','wait_for','pretty','human','error_trace','source','filter_path']);
+		$url = $this->addQueryString($url, $params, ['cache_size','number_of_allocations','threads_per_allocation','priority','queue_capacity','timeout','wait_for','pretty','human','error_trace','source','filter_path']);
 		$headers = [
 			'Accept' => 'application/json',
 			'Content-Type' => 'application/json',
@@ -2717,6 +2718,43 @@ public function updateModelSnapshot(array $params = [])
 	}
 
 
+	/**
+	 * Updates certain properties of trained model deployment.
+	 *
+	 * @see https://www.elastic.co/guide/en/elasticsearch/reference/current/ml-update-trained-model-deployment.html
+	 *
+	 * @param array{
+	 *     model_id: string, // (REQUIRED) The unique identifier of the trained model.
+	 *     pretty: boolean, // Pretty format the returned JSON response. (DEFAULT: false)
+	 *     human: boolean, // Return human readable values for statistics. (DEFAULT: true)
+	 *     error_trace: boolean, // Include the stack trace of returned errors. (DEFAULT: false)
+	 *     source: string, // The URL-encoded request definition. Useful for libraries that do not accept a request body for non-POST requests.
+	 *     filter_path: list, // A comma-separated list of filters used to reduce the response.
+	 *     body: array, // (REQUIRED) The updated trained model deployment settings
+	 * } $params
+	 *
+	 * @throws MissingParameterException if a required parameter is missing
+	 * @throws NoNodeAvailableException if all the hosts are offline
+	 * @throws ClientResponseException if the status code of response is 4xx
+	 * @throws ServerResponseException if the status code of response is 5xx
+	 *
+	 * @return Elasticsearch|Promise
+	 */
+	public function updateTrainedModelDeployment(array $params = [])
+	{
+		$this->checkRequiredParameters(['model_id','body'], $params);
+		$url = '/_ml/trained_models/' . $this->encode($params['model_id']) . '/deployment/_update';
+		$method = 'POST';
+
+		$url = $this->addQueryString($url, $params, ['pretty','human','error_trace','source','filter_path']);
+		$headers = [
+			'Accept' => 'application/json',
+			'Content-Type' => 'application/json',
+		];
+		return $this->client->sendRequest($this->createRequest($method, $url, $headers, $params['body'] ?? null));
+	}
+
+
 	/**
 	 * Upgrades a given job snapshot to the current major version.
 	 *