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. 🌙🐷
We’re looking for a Head of Machine Learning & AI to define and lead how machine learning drives customer experience and commercial outcomes across Moonpig’s Cards business.
This role sits within our Product, Data & Technology (PDT) team and focuses on building and scaling applied production machine learning systems. From recommendations and ranking to search and personalisation, your work will directly shape how millions of customers experience Moonpig.
You’ll lead a team of machine learning specialists, owning the performance, quality and lifecycle of models in production. Alongside this, you’ll guide how we apply modern AI technologies, including generative AI and LLMs, in practical, high-impact ways across our products.
As part of the wider PDT leadership team, you’ll influence roadmap decisions, shape investment priorities, and act as the senior voice for ML and AI across the Cards business.
Define the vision and direction for machine learning and AI across the Cards business, identifying opportunities to improve customer experience and commercial performance
Lead the performance and evolution of core ML systems including recommendations, ranking, search and personalisation
Own model quality and lifecycle management, including evaluation, monitoring, retraining and long-term maintainability
Drive the development of AI-powered product features, including LLM-based and generative experiences
Partner with Product Management to shape the ML roadmap and prioritise high-impact initiatives
Set technical direction across modelling approaches, feature design and evaluation frameworks
Work closely with Engineering and MLOps teams to ensure ML systems are production-ready, scalable and well-supported
Act as the central ML authority within PDT, aligning teams around best practices and shared approaches
Lead, coach and grow a team of machine learning specialists, including managers and senior individual contributors
Influence senior stakeholders, guiding decisions and representing ML and AI in leadership forums
Proven experience leading machine learning or applied science teams with accountability for business impact, ideally across B2C ecommerce environments.
Strong expertise in building and evaluating production ML systems such as recommendations, ranking, search or personalisation
Commercial mindset with experience owning ML systems that drive measurable outcomes like conversion, engagement or revenue
Ability to set technical direction and guide decisions across a broad and complex ML landscape
Experience with, or strong interest in, modern AI approaches such as LLMs and generative AI
Strong communication skills with the ability to translate technical concepts into business value
Experience working cross-functionally with Product, Engineering and platform teams such as MLOps
Track record of influencing senior stakeholders and driving alignment across teams
