{"id":"8678e344-d6e7-4bd5-955c-5e6f9092cf76","title":"Machine Learning Engineer","company":{"id":"7e86121e-1a2d-43ee-b5d5-7648b3ed4eeb","name":"Zurich Insurance","website":"https://careers.zurich.com","url":"https://yesjob.brogu.ca/companies/7e86121e-1a2d-43ee-b5d5-7648b3ed4eeb"},"url":"https://yesjob.brogu.ca/jobs/8678e344-d6e7-4bd5-955c-5e6f9092cf76","apply_url":"https://www.careers.zurich.com/job/Waterloo-Machine-Learning-Engineer-ON/1375404257/","status":"open","location":"Toronto, ON, Canada","locations":[{"city":"Toronto","region":"ON","country":"CA"},{"city":"Waterloo","region":"ON","country":"CA"}],"workplace":null,"remote_eligible_countries":[],"employment_types":[],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":{"max":151400,"min":null},"languages_required":[],"seniority":null,"first_seen_at":"2026-11-06T20:28:14.619Z","last_seen_at":"2026-11-12T03:25:30.133Z","salary_text":null,"summary":"- Posting covers four ML/AI engineering roles (Applied AI, Generative AI, Data & ML Platforms, MLOps) at Junior, Intermediate and Senior levels in Toronto; candidates are placed by level.\n- Workplace model and employment type are not stated in this posting.\n- Core requirements: Python and SQL, Git, APIs, testing, CI/CD, and ML lifecycle understanding; cloud and Databricks/Azure experience are assets.\n- The stated salary minimum is malformed ($92,3000); only the maximum of CAD 151,400 is reliable, and no pay period is written.","sources":["https://www.careers.zurich.com/job/Waterloo-Machine-Learning-Engineer-ON/1375404257/"]}