Platform Engineer, Machine Learning

RAVL; Toronto; Hybrid; CAD 80,000 - 120,000; Part time

Benefits offered by this job

Flexible client-aligned work model

Variable bonus & RRSP contributions

4 weeks paid time off

Paid professional development days

Comprehensive health & dental coverage

Job summary

RAVL, based in Toronto, Ontario, is seeking a Senior ML Platform Engineer to contribute to the development and scaling of machine learning platforms. This position involves building and extending ML platform components, as well as creating ML pipelines for both training and deployment.

The ideal candidate will have strong experience with Databricks, cloud systems (preferably Azure), and ML workflows. RAVL offers a flexible work model, comprehensive health benefits, and a commitment to professional development.

Qualifications

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

Responsibilities

• 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.

Skills

Strong Databricks and Spark experience

Experience building ML pipelines and workflows

Proficiency in Python

Cloud experience (Azure preferred)

Familiarity with CI/CD and automation

Tools

MLflow or similar tools

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.

What does success look like in this role?

• 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

Great, do my skills fit?

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

Nice To Have Skills

• MLflow or similar tools
• Enterprise integration experience

Mindset Traits

• Strong builder and problem solver
• Detail‑oriented and delivery‑focused
• Collaborative

Why join RAVL?

• 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

Compensation & Hiring Process

We are recruiting for a current opportunity. Final offers are based on experience, skills, and qualifications. As part of our hiring process we may use technology, including AI‑based tools, to help summarize and assess applications; these tools assist our team and do not replace human review or decision‑making.

Equal Opportunity & Accessibility

RAVL is an equal opportunity employer committed to building a diverse, inclusive, and accessible workplace. We welcome applications from all qualified individuals and provide accommodations throughout the hiring process upon request.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.