Senior Machine Learning Engineer

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: Are you a Machine Learning Engineer with a knack for building robust, scalable, and efficient AdTech systems? Do you love getting your hands dirty with large-scale data and ML pipelines, and ensuring cutting-edge models run flawlessly in production? Do you want to join an existing, high-output team of academic and professional experts to build the world's first Large Marketing Model? If so, we'd love to meet you! You are: Design, implement and maintain scalable, production-grade data and ML infrastructure, supporting our AI models in GCP. Contribute to designing and building strong data governance and quality frameworks to ensure data inputs are reliable, accurate, and consistent. Collaborate closely with our team of 14+ data scientists and engineering peers to translate research prototypes into robust, production-ready systems, applying strict software engineering best practices (CI/CD, version control, testing, etc.). Identify and address technical debt and inefficiencies within our data and ML platforms to improve system stability. Actively participate in a culture of operational excellence, automation, and continuous improve