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Platform Engineer, Machine Learning

RAVL is a boutique technology advisory and engineering firm focused on the financial services industry. Everything we do is centered on helping our clients realize measurable ROI f

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Ravl Io Toronto Source published Apr 19, 2026 Verified 4 hours ago
✓ 100% verification score · Source: Ravl Io (lever) · Always confirm final requirements on the original source.
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Overview

RAVL is a boutique technology advisory and engineering firm focused on the financial services industry. Everything we do is centered on helping our clients realize measurable ROI f

Full job description

RAVL is a boutique technology advisory and engineering firm focused on the financial services industry. Everything we do is centered on helping our clients realize measurable ROI from their technology investments. We’re hiring Senior ML Platform Engineers (Contract) to contribute to building and scaling machine learning platforms across a range of client engagements. This work includes developing ML pipelines, extending platform capabilities, and supporting MLOps workflows in cloud environments. These roles support both active delivery and upcoming opportunities, offering the chance to work on modern, production-grade ML systems.

Build and extend ML platform components on Databricks Develop ML pipelines for training, deployment, and monitoring Implement reusable workflows aligned with platform architecture Integrate with enterprise tooling and services Support performance, reliability, and observability

Strong Databricks and Spark experience Experience building ML pipelines and workflows Proficiency in Python Cloud experience (Azure preferred) Familiarity with CI/CD and automation

MLflow or similar tools Enterprise integration experience

Strong builder and problem solver Detail-oriented and delivery-focused Collaborative

Flexible, client-aligned work model — autonomy with accountability, adapting to client delivery needs Variable bonus & RRSP contributions tied to performance and delivery impact. 4 weeks paid time off (plus public holidays) Paid professional development days and continuous learning opportunities Comprehensive health & dental coverage, including mental health support Commitment to lifelong learning — continuous improvement through training, mentorship, and certification

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