Senior ML Engineer

KPI Partners is seeking a talented and motivated Senior Machine Learning Engineer to join our dynamic team. In this role, you will leverage your expertise in machine learning and data science to develop innovative solutions that drive business insights and enhance operational efficiency.
 

Experience required
• Extensive knowledge in ML engineering / MLOps, including production
ownership of deployed models.
• Strong, demonstrable expertise in Azure Machine Learning —
workspace administration, compute management, environments,
datastores and data assets, model registry, and online and batch
endpoint deployment.
• Hands-on expertise with the Azure ML Python SDK and the Azure ML
CLI, including authoring jobs, components, pipelines and deployment
YAML programmatically.
• Working knowledge of the wider Azure ecosystem: Azure Storage (Blob /
ADLS Gen2), Key Vault, Container Registry, Entra ID and managed
identities, Azure Monitor and Application Insights, GitHub Actions for
CI/CD.
• Advanced Python — modular, tested, production-grade code;
packaging; comfort working in a shared repository.
• Docker and containerised model deployment; exposure to
infrastructure as code (Terraform).
• Practical experience with a workflow orchestrator — Apache
Airflow preferred.
• Experience with Git-based branching, code review and CI/CD for
machine learning workloads.
• Experience implementing model monitoring, drift detection and alerting
in production.
• Experience implementing Feature store.

KPI Partners offers a collaborative work environment and opportunities for professional growth. If you are passionate about machine learning and eager to make an impact, we encourage you to apply and join our team.