Salary: £60,000 - 60,000 per year Requirements: 5 years experience in MLOps, DevOps, or related roles Strong knowledge of ML lifecycle management, deployment, monitoring, and model maintenance Hands-on experience with Python and ML frameworks Experience with containerisation (Docker/Kubernetes) Proficiency in CI/CD pipelines and cloud ML services (AWS SageMaker preferred) Familiarity with infrastructure-as-code, production-grade Linux environments, and API services (Flask/Gunicorn) Ability to build automated, reliable ML pipelines with both structured and unstructured data Excellent problem-solving, analytical, and communication skills Self-motivated and organised Capability to embed best practices for governance, reproducibility, and operational excellence (Desirable) Experience with feature stores, model registries, real-time serving, and model retraining automation (Desirable) Integration of ML systems into business applications or APIs (Desirable) Exposure to Water Industry data, systems, and processes Responsibilities: Build, maintain, and optimise automated ML deployment pipelines with CI/CD, containerisation, and orchestration Monitor model performance, data drift, and system health to ensure reliability and availability Support ML platforms and infrastructure both on-premise and in the cloud (AWS, SageMaker) Collaborate with data scientists to productionise models and embed ML Ops best practices across the organisation Ensure governance, compliance, documentation, and reproducibility of ML pipelines and models Provide 2nd/3rd line support, manage release cycles, and resolve incidents efficiently Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability Technologies: API AWS CI/CD Cloud DevOps Docker Flask Support Kubernetes Linux Machine Learning Python Security More: We are looking for a Machine Learning Ops Engineer to help operationalise machine learning across Affinity Water on a 24 month FTC. Our team consists of data scientists, engineers, architects, and stakeholders, all focused on deploying, monitoring, and maintaining ML models in robust, scalable, and secure production environments. We offer a competitive salary starting from £60,000, flexible working arrangements at our Hatfield office, and various learning and development opportunities. Our comprehensive benefits package includes annual leave increasing with service, a generous pension scheme, family leave benefits, and wellbeing support, all aimed at ensuring a positive work environment for our team. last updated 13 week of 2026