About

ML ENGINEER UP TO £80,000 + BENEFITS HYBRID - CHESTER If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one. THE COMPANY: I'm working with a fast-growing business that's investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products. With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business. Key responsibilities include: Operationalising ML models, including deployment, monitoring, retraining, and drift detectionActing as the bridge between Data Science and Engineering to productionise modelsSupporting a broad range of AI and ML initiatives, including: Revenue management and pricing optimisationCustomer-facing AI products using LLMs and AI agentsChurn prediction and revenue forecasting Defining and implementing ML best practices, CI/CD pipelines, and coding standardsImproving reliability, scalability, and observability of production ML systems YOUR SKILLS AND EXPERIENCE: A successful ML / AI Engineer will bring: Hands-on experience deploying and maintaining ML models in productionExperience with CI/CD in a prod