Machine Learning Ops Engineer

Salary

£60,000 - 60,000 per year

• 5 years experience in MLOps, Dev Ops, 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 Sage Maker 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

• 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, Sage Maker)
• Collaborate with data scientists to product ionise 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

• API
• AWS
• CI/CD
• Cloud
• Dev Ops
• Docker
• Flask
• Support
• Kubernetes
• Linux
• Machine Learning
• Python
• Security

We are looking for a Machine Learning Ops Engineer to help ope rationalise 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.