Senior AI/ML Engineer

Job description

In a nutshell Leads the engineering and deployment of production-ready Machine Learning systems that bring Data Science models to life at scale for Sainsbury's customers. Owns the technical implementation of ML pipelines, infrastructure, and operational excellence, ensuring models perform reliably in production. Shows care for both the customer experience and Data Science colleagues by building robust, maintainable solutions and refusing to walk past technical debt or operational issues. What I am accountable for - Design and implement production-grade ML pipelines and infrastructure that enable reliable, scalable deployment of machine learning models across Sainsbury's products and services. - Lead the engineering delivery of complex ML systems, making technical decisions on tooling, frameworks, and implementation approaches that balance performance, maintainability, and development velocity. - Collaborate closely with Data Scientists and Data Analysts to operationalize models, translating experimental code into production-ready solutions while maintaining model accuracy and establishing robust testing frameworks. - Establish and maintain MLOps practices including CI/CD pipelines,...