Likely filled
This role has closed. Jobgether has taken the posting down.
hirly last saw it live on 29 September 2026. See similar open roles below, or browse all Machine Learning Engineer jobs.
Jobgether
Lead Machine Learning Engineer - ML Infrastructure
Canada
Similar open jobs
- Senior Applied Machine Learning Engineer - Asset IntelligenceMaintainX (An Autodesk Company) · CanadaFirst seen yesterday
- Senior Staff Machine Learning EngineerWorkiva · 2 LocationsFirst seen 2d ago
- Staff Machine Learning EngineerSglottery · Toronto, CanadaFirst seen 2d ago
- Lead, AI/Machine Learning EngineerOmers · Toronto, OntarioFirst seen 2d ago
- Staff Machine Learning EngineerOpentable · Toronto, CanadaFirst seen 10d agoremote
- Staff Machine Learning Engineer, SecureAI Okta · Toronto, Ontario, CanadaFirst seen 10d ago
- Machine Learning EngineerMobsquad · CanadaFirst seen 14d ago
- Applied AI, Forward Deployed Machine Learning Engineer Mistral · MontréalFirst seen yesterdayremote
- Machine Learning EngineerHelm.ai · Remote - CanadaFirst seen yesterdayremote
- Machine Learning EngineerTd · Toronto, OntarioFirst seen 2d ago
- Machine Learning Engineer IITd · 661 University Avenue, Toronto, OntarioFirst seen 2d ago
- Senior Machine Learning EngineerRemitly · Burnaby, British Columbia, CanadaFirst seen 2d ago
- Senior Machine Learning EngineerSglottery · Toronto, CanadaFirst seen 2d ago
- Machine Learning Engineer - Express Scripts CanadaCigna · Mississauga, ONFirst seen 2d ago
- Senior Machine Learning Engineer- AIOSZafinlabsamericasinc · TorontoFirst seen 5d ago
hirly's read of this role
- Role family
- Data & ML
- Seniority
- Lead / management
- Country
- CA
- Work mode
- Remote-friendly
- First seen by hirly
- 25 Sept 2026
Derived automatically from the posting.
the posting
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Machine Learning Engineer - ML Infrastructure based in the Canada .
- This role serves as the technical anchor for machine learning infrastructure supporting large-scale AI products and applications.
- You will own the architecture and evolution of an end-to-end ML platform spanning training, experimentation, inference, and edge deployment.
- The position connects applied machine learning, data platform, security, firmware, and infrastructure teams around shared technical direction.
- You will make high-impact architectural decisions that influence multiple product teams and production systems at significant scale.
- The role combines hands-on engineering with technical leadership, reliability, security, developer experience, and operational ownership.
- You will help deliver ML-powered capabilities from initial design through production deployment while balancing performance, latency, cost, and research velocity.
- This is a senior technical leadership opportunity where your decisions can directly influence real-world safety, efficiency, and customer outcomes.