At a Glance
- Tasks: Build and scale machine learning platforms using Databricks and Python.
- Company: RAVL, a boutique tech advisory firm in financial services.
- Benefits: Flexible work model, 4 weeks paid time off, and comprehensive health coverage.
- Other info: Commitment to lifelong learning with mentorship and professional development opportunities.
- Why this job: Join a team that values innovation and offers real impact on ML systems.
- Qualifications: Strong experience with Databricks, Spark, and building ML pipelines.
The predicted salary is between 135000 - 165000 $ per year.
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.
Platform Engineer, Machine Learning in Toronto employer: RAVL
At RAVL, we pride ourselves on being a boutique tech advisory firm that fosters a collaborative and innovative work culture. As a Machine Learning Platform Engineer, you'll not only have the opportunity to work on cutting-edge projects but also benefit from a supportive environment that encourages professional growth and development. Located in a vibrant tech hub, our team enjoys flexible working arrangements and access to the latest tools and technologies, making RAVL an exceptional place for those looking to make a meaningful impact in the field of machine learning.
