We are looking for an ML Engineer to own the operationalisation of AI/ML models — taking models from development into reliable, scalable production systems. This is a hands-on engineering role sitting at the intersection of ML and platform infrastructure. You'll work closely with their data scientists to understand workflows and build the infrastructure that makes deploying, monitoring, and maintaining models systematic and repeatable.

What You'll Do

• Own the deployment and operationalisation of ML models into production — building the infrastructure that takes models from development to live business systems
• Build and maintain ML pipelines using tools like MLflow, Airflow, and similar — covering experiment tracking, model versioning, deployment, and automated retraining
• Implement model monitoring and drift detection to ensure production models stay accurate over time
• Build and maintain cloud infrastructure on AWS, GCP,...