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Senior Machine Learning Engineer
Sglottery
Toronto, CanadaPosted Aug 19, 2026 · 3h ago
Full-timeSeniorOn-siteSaaS
About this role
Join Scientific Games as a Senior Machine Learning Engineer to build our foundational ML platform from the ground up. You will create self-service ML tooling and deployment workflows, enabling Data Scientists to independently move models from experimentation to production for both batch and real-time use cases. This role is based in Toronto and focuses on establishing reusable infrastructure, deployment standards, and developer experience patterns.
What we are looking for
6- Build reusable self-service tooling for model packaging, deployment, and serving
- Develop platform capabilities for independent model deployment and monitoring
- Build foundational ML workflows including model registry and environment promotion
- Design CI/CD pipelines for automated training and deployment
- Establish golden-path templates, SDKs, and CLIs for standardization
- Contribute to observability standards for model health and performance
