Senior Machine Learning Engineer / AI Engineer About the Role This is an opportunity to join a high-impact AI team building real, customer-facing products at scale. You’ll sit at the intersection of data science and engineering, taking cutting-edge models from concept through to production and ensuring they perform reliably in real-world environments. You’ll work across recommendation systems, dynamic pricing engines, and emerging GenAI and agent-based applications, helping shape how intelligent systems are delivered to millions of users. This is a hands-on role in a fast-moving team, ideal for someone who enjoys building, shipping, and seeing their work drive measurable outcomes. Key Responsibilities Take machine learning models from POC through to robust, scalable production systems Build and optimise end-to-end ML pipelines, including training, inference, and monitoring Deploy and manage AI solutions in cloud environments, ideally GCP and Vertex AI Develop and experiment with GenAI and agent-based systems, including customer and internal analytics use cases Collaborate closely with Data Scientists to productionise models and improve performance Implement best practices across CI/CD, version control, testing, and model lifecycle management Continuously improve system performance, scalability, and reliability in production environments What You’ll Bring Proven experience deploying machine learning models into production environments Strong Python and ML engineering capability, with experience building scalable systems Experience working with APIs, microservices, and batch or real-time inference pipelines Exposure to MLOps practices, including CI/CD, Docker, and monitoring frameworks Experience working with GenAI, LLMs, or agent-based architectures Cloud experience, GCP preferred, though AWS or Azure backgrounds are also valuable A product mindset, focused on delivering real outcomes rather than just models Why This Role Work on AI systems that directly impact customer experience at scale Strong focus on production, not just experimentation Exposure to modern GenAI and agent-based architectures Small, high-performing team with fast decision-making and real ownership
