Machine Learning Engineer, AVP

As a Machine Learning Engineer, you’ll lead the planning and design of complex projects. Your daily responsibilities will see you codifying and automating machine learning model production, including pipeline optimisation, tuning and fault finding, as well as transforming data science prototypes and applying appropriate machine learning algorithms and tools.

We’ll need you to deploy and maintain adopted end-to-end solutions, including building metrics to improve system performance and identifying and resolving differences in data distribution which affect model performance.

In addition, you’ll be responsible for:

Understanding the needs of our business stakeholders, and how machine learning solutions meet those needs to support the achievement of our business strategy

Working with colleagues to produce machine learning models, including pipeline designs, development, testing and deployment to carry on the intent and knowledge into production

Creating frameworks to make sure the monitoring of machine learning models within the production environment is robust

Delivering models that adhere to expected quality and performance while understanding and addressing any shortfalls, for example through retraining

Leading and working in an Agile way within multi-disciplinary data and the analytics teams to achieve agreed project and Scrum outcomes