Head of Machine Learning & AI

Join Moonpig, a leading online greeting card and gift retailer, as the Head of Machine Learning & AI. In this role, you will define and lead the application of machine learning to enhance customer experience and drive commercial outcomes. You will lead a team of machine learning specialists, oversee the performance and quality of models in production, and guide the application of modern AI technologies. This position offers a range of benefits, including a competitive salary, annual reviews, a pension scheme, private medical insurance, and flexible working opportunities.

• Definir y liderar la dirección de la inteligencia artificial y el aprendizaje automático en el negocio de tarjetas de Moonpig, identificando oportunidades para mejorar la experiencia del cliente y el rendimiento comercial.
• Liderar el rendimiento y la evolución de los sistemas de aprendizaje automático, incluyendo recomendaciones, clasificación, búsqueda y personalización, y ser responsable de la calidad y gestión del ciclo de vida de los modelos en producción.
• Colaborar con la gestión de productos para dar forma a la hoja de ruta de aprendizaje automático y priorizar iniciativas de alto impacto, y trabajar en estrecha colaboración con los equipos de ingeniería y MLOps para garantizar que los sistemas de aprendizaje automático estén listos para producción.
• Commercial mindset with experience owning ML systems that drive measurable outcomes like conversion, engagement or revenue
• 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
• Strong expertise in building and evaluating production ML systems such as recommendations, ranking, search or personalisation
• Experience with, or strong interest in, modern AI approaches such as LLMs and generative AI
• Track record of influencing senior stakeholders and driving alignment across teams
• Ability to set technical direction and guide decisions across a broad and complex ML landscape
• Proven experience leading machine learning or applied science teams with accountability for business impact, ideally across B2C ecommerce environments