MLOps Engineer / Machine Learning Engineer
This role involves building and maintaining MLOps frameworks to deploy, scale, and monitor machine learning models in highly secure, air-gapped environments. You'll work across engineering and data science teams to develop automated CI/CD pipelines, containerised applications, and production-grade ML systems using tools like GitLab, Docker, Kubernetes, MLflow, and Airflow. The role supports critical public sector digital transformation programmes with a focus on security and scalability.