Workday — ML / AI Engineer jobs
16 open roles
Workday
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ML / AI Engineers build, train, and ship machine-learning systems — from models and data pipelines to the production infrastructure that serves them. It's one of the highest-demand, highest-paid engineering tracks of the AI era. This board aggregates open ML/AI engineering roles daily from company ATS feeds and links to the original posting.
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Senior Machine Learning Engineer - AI PlatformWorkday · 2 Locations
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Senior AI Engineer, Full-Stack — Agent FactoryWorkday · Canada, BC, Vancouver
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Senior AI Engineer - Evisort AIWorkday · Canada, BC, Vancouver
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Machine Learning Engineer - FinancialsWorkday · Canada, BC, Vancouver
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Senior AI Engineer - SanaWorkday · Sweden, Stockholm
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Senior AI Engineer - Agent FactoryWorkday · 2 LocationsNew
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Principal AI/ML EngineerWorkday · Czech Republic, Prague
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Principal AI EngineerWorkday · Canada, BC, Vancouver
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AI EngineerWorkday · Canada, BC, Vancouver
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Machine Learning Engineer - PayrollWorkday · USA, CA, PleasantonNew
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Machine Learning Engineer III - Document IntelligenceWorkday · 2 Locations
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Senior AI Engineer - Da Nang (Paradox)Workday · VNM.Da Nang
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Machine Learning EngineerWorkday · Ireland, Dublin
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Senior AI EngineerWorkday · Ireland, Dublin
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Principal Machine Learning EngineerWorkday · Ireland, DublinNew
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Machine Learning Engineer IIIWorkday · 3 Locations
ML / AI Engineer — FAQ
- What does an ML / AI Engineer do?
- Designs, trains, evaluates, and deploys ML models; builds data and inference pipelines; and increasingly works on LLM/GenAI systems — across the line from applied research to production (MLOps).
- ML Engineer vs. Data Scientist?
- Data scientists focus on analysis, experimentation, and insight; ML engineers focus on building and shipping models as reliable production systems — it's an engineering-heavy track.
- How much do ML / AI Engineers earn?
- US mid-to-senior roles commonly land around $160k–$300k+ total comp, often with equity; it varies by company and level. Check each posting.