MLOpsEngineer

## Description We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles. We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care. We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive. If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷 ## About the Role We're looking for an MLOps Engineer to join Moonpig's Data Platform team. In this role, you'll help build and scale the infrastructure that powers machine learning across the business. Working closely with data scientists, data engineers, software engineers, and stakeholders, you'll streamline the end-to-end machine learning lifecycle—from experimentation and model development through to deployment, monitoring, and continuous improvement. As part of the ML Ops team, you'll play a key role in enabling innovation, personalisation, and data-driven decision-making across Moonpig. This is an opportunity to work with modern cloud technologies, shape scalable ML platforms, and make a direct impact on how machine learning is delivered in production. ## Key Responsibilities Evaluate, integrate, and implement MLOps tools and frameworks to improve the efficiency and reliability of machine learning operations. Design, implement, and manage CI/CD pipelines for deploying machine learning models into production environments. Build and maintain infras