MLOps Engineer | Python | Airflow | AWS | MLFlow | Docker | Kubernetes | London, Hybrid

MLOps Engineer | Python | Airflow | AWS | MLFlow | Docker | Kubernetes | London, Hybrid

Position Overview

We are seeking an experienced ML Ops Engineer to own the infrastructure and operational lifecycle of machine learning systems powering a large-scale clinical monitoring platform. You will build and maintain production ML pipelines, deployment infrastructure, and monitoring systems that enable predictive models to identify early signs of clinical deterioration.

Working closely with ML, backend, data, and clinical teams, you will ensure models are reliably trained, versioned, deployed, and monitored across both cloud and edge environments. You will help elevate ML engineering practices across the organisation, including reproducibility, experiment tracking, CI/CD for models, and operational observability.

This is a high-ownership role within a fast-paced environment where production reliability, rapid ite...