Machine Learning Engineer – MLOps

We are seeking an experienced Machine Learning Engineer to design, build and manage secure, scalable MLOps capabilities primarily on AWS. The role involves developing automated ML pipelines, implementing CI/CD workflows, deploying production-grade models and managing model lifecycle operations. Responsibilities include working with Amazon SageMaker, Docker, Kubernetes, Terraform, MLflow and cloud infrastructure services, along with implementing model monitoring, data drift detection, security controls and governance processes. Candidates should have at least 7 years of relevant experience in MLOps, ML engineering, DevOps or cloud engineering, with strong hands-on AWS and production ML deployment experience. Dataiku and banking or financial services experience are highly preferred.