Manager, Technical Solutions

About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. The Opportunity: We are seeking a highly skilled and passionate Manager to join our cutting-edge AI Automation team. In this role, you will be instrumental in designing, building, and deploying robust, scalable, and high-performance AI/ML solutions that automate and optimize critical media processes across WPP's global network. You will work closely with Data Scientists, Business Analysts, and Product Managers to translate complex business problems and ML models into production-ready software, focusing on MLOps best practices, system integration, and cloud-native development. If you thrive on solving challenging technical problems, have a strong engineering mindset, and are eager to make a significant impact on the future of media, t [... source excerpt omitted ...] feedback, and ensure code quality standards are met. AI/ML System Integration & MLOps: Operationalize machine learning models developed by Data Scientists, integrating them into production systems via APIs, batch processes, or streaming pipelines. Implement and manage MLOps pipelines for model training, validation, deployment, monitoring, and retraining (e.g., using tools like MLflow, Kubeflow, Sagemaker, Azure ML, Vertex AI). Develop robust data pipelines for feature engineering, data ingestion, transformation, and storage to support AI models. Design and implement systems for real-time inference and prediction serving at scale. Cloud-Native Development: Develop and deploy [... source excerpt omitted ...] deployment processes. Monitor and optimize cloud resource utilization and application performance. Collaboration & Mentorship: Work closely with Business Analysts to understand requirements and translate them into technical specifications. Collaborate with Data Scientists to refine model interfaces, optimize performance, and troubleshoot production issues. Partner with Product Managers to contribute to the technical roadmap and sprint planning. Mentor junior developers, provide technical guidance, and foster a culture of continuous learning and excellence. Problem Solving & Innovation: Identify and troubleshoot complex technical issues in development and production environmen