R
Ravl Io11d ago

Platform Engineer, Machine Learning

TorontoContractmid
EngineeringData ScienceDevOps & InfrastructureMachine Learning EngineerData & AIDevops Engineer
0 views0 saves0 applied

Quick Summary

Overview

RAVL is a boutique technology advisory and engineering firm focused on the financial services industry.

Technical Tools
EngineeringData ScienceDevOps & InfrastructureMachine Learning EngineerData & AIDevops Engineer

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
  • Location & Eligibility

    Where is the job
    Toronto
    Hybrid — some on-site time required
    Who can apply
    Same as job location
    Listed under
    Worldwide

    Listing Details

    Posted
    April 19, 2026
    First seen
    April 19, 2026
    Last seen
    May 1, 2026

    Posting Health

    Days active
    11
    Repost count
    0
    Trust Level
    28%
    Scored at
    May 1, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
    Newsletter

    Stay ahead of the market

    Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

    A
    B
    C
    D
    Join 12,000+ marketers

    No spam. Unsubscribe at any time.

    R
    Platform Engineer, Machine Learning