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.
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