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Entry level machine learning Jobs in Toronto, ON
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Entry level machine learning • toronto on
- Promoted
Machine learning engineer
Nexlify SolutionsToronto, Canada- Promoted
Machine Learning Engineer
ArcadiaToronto, ON, CanadaMachine Learning — Master-Level Internship
VosynEtobicoke, Ontario, Canada- Promoted
Machine Learning Engineer
ProNavigatorToronto C6A, ON, CanadaMachine Learning Engineer
Odaia IntelligenceToronto, Ontario, Canada- Promoted
Machine Learning Engineer
ODAIAToronto, Canada- Promoted
Machine Learning Engineer
CloudDevsToronto C6A, ON, CanadaMachine Operator -Heat Press- Entry Level
Randstad CanadaNorth York, Ontario, CAMachine Learning Scientist (Graduate / Postdoc Level) - Contract
OncousticsToronto, ON, CAMachine Learning Engineer
1851 LabsToronto, ON, CA- Promoted
Machine Learning Engineer
AlsglobalToronto, CanadaMachine Learning Engineer
CineplexToronto, Ontario, CanadaMachine Learning Engineer
PinnacleToronto, ON, CAMachine Learning Engineer
FullscriptToronto, ON, CAMachine Learning Engineer
Manulife Insurance MalaysiaToronto, ON, CA- Promoted
Machine Learning Engineer
Align Technology, Inc.Toronto, ON, CanadaMachine Learning Engineer
Insight GlobalToronto, ON, CA- Promoted
Machine Learning Engineer
Thrive Career Wellness PlatformToronto C6A, ON, Canada- Promoted
Machine Learning Researcher
IdeogramToronto, CanadaPopular searches
Machine learning engineer
Nexlify SolutionsToronto, Canada- Full-time
Our Machine Learning Engineers are at the heart of turning raw data into intelligent applications. You’ll design scalable ML systems that support chatbots, predictive analytics, and geospatial intelligence from drone / satellite imagery. In this role, you’ll bridge the gap between theory and production by transforming models into robust, user-ready solutions that can handle real-world challenges.
Whether it’s optimizing pipelines for faster model training, building RAG-enabled AI assistants, or working on remote sensing insights for agriculture, your work will directly contribute to solutions that drive industries forward.
Responsibilities
Build ML pipelines for training, testing, and deployment.
Optimize ML / DL models for performance and scalability.
Work on geospatial imagery datasets (drone / satellite).
Collaborate with data scientists and backend engineers.
Maintain MLOps workflows and CI / CD pipelines.
Preferred Qualifications
Bachelor’s / Master’s in Computer Science, Data Science, or related.
Strong coding skills in Python (FastAPI, Django) and ML libraries.
Experience with cloud platforms (AWS, GCP, Azure).
Familiarity with geospatial datasets is an asset.
Provide expert guidance on developing an AI strategy
Careers
Full-time
Canada
C$95k – 120k / year
Conversational AI Engineer (LLMs, NLP)
As a Conversational AI Engineer, you’ll design and build intelligent chatbots and LLM-powered virtual assistants tha
Create cross-platform mobile apps that deliver seamless, AI-powered user experiences on iOS and Android
Build scalable web apps and platforms by combining modern front-end frameworks with powerful back-end systems
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