Lead MLOps Engineer

Join an innovative organisation investing in modern machine learning capabilities and cloud-first engineering. This is a key leadership role where you’ll shape the MLOps foundations that enable multiple teams to build, deploy, and manage production-ready ML solutions at scale. What You’ll Be Doing: - Design, build, and maintain a scalable MLOps platform using Amazon SageMaker (model training, deployment, pipelines, monitoring, and governance). - Lead the migration of a complex suite of production machine learning models from legacy platforms into SageMaker. - Develop and manage CI/CD pipelines for automated model testing, validation, and promotion across environments. - Define secure cloud standards (IAM, encryption, networking) for machine learning workloads. - Establish reusable MLOps templates, standards, and best practices for self-service by engineering and data science teams. - Implement robust model governance, monitoring, drift detection, and automated retraining processes. - Produce clear technical documentation and operational runbooks. - Collaborate closely with data scientists, platform engineers, and security teams. - Communicate technical risks, progress, and governance decisions to both technical and non-technical stakeholders. - Take ownership of technical direction in a complex environment.

- Expert-level experience with Amazon SageMaker (Studio, Training, Pipelines, Endpoints, and production MLOps practices). - Strong AWS knowledge (IAM, S3, KMS, CodePipeline, CodeBuild or equivalent). - Expert Python development skills (PySpark experience highly desirable). - Proven experience designing enterprise MLOps frameworks (model registries, monitoring, governance, deployment automation). - Strong understanding of statistical validation and model parity testing. - Advanced Git and version control experience. - Knowledge of Infrastructure as Code (Terraform, CloudFormation, or CDK) — advantageous. - Familiarity with AWS services: Step Functions, Lambda, CloudWatch, CloudTrail, Glue, EMR, Lake Formation, Feature Store, and VPC networking. - Experience with data governance, security, and compliance in cloud environments. - Ability to lead technical strategy, mentor teams, manage competing priorities, and communicate effectively with stakeholders.