Posted 7 months ago
Platform Engineer, Machine Learning
@ RAVL
Toronto, Ontario
Overview
RAVL, a boutique technology advisory and engineering firm for financial services, is hiring a senior ML Platform Engineer on contract. The work covers building ML pipelines and extending ML platform components on Databricks, supporting MLOps workflows in cloud environments. Benefits include 4 weeks paid time off, a variable bonus, RRSP contributions, and health and dental coverage.
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
Requirements summary:
- 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 & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2026-04-19
- First seen by our source
- 2026-10-14
- Source record updated
- 2026-10-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Work setting | Office, Client sites |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Generous paid time off, Retirement plan, Performance bonus, Wellness |
Summary and details written by AI from the posting; the employer’s posting is the authority.
RAVL
| Field | Value |
|---|---|
| Open jobs on Jobsy | 20 |
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.
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