250 Machine Learning & AI Jobs in Toronto, Canada

Role highlights

• Job Requirements Category ML Scientist Requirements ML Engineer Requirements Languages Python, AWS, Databricks Python, AWS, Databricks ML S…
• ML Scientists focus on designing state-of-the-art models for Ranking and Personalization, while ML Engineers specialize in building end-to-…

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• The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning models, drive innovation, and collabora…
• Core Machine Learning and AI Skills with 2 + years of hands-on experience in model development and optimization, with knowledge…

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• We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring, and creating inventive AI technologies.
• Expectations : Research, develop and implement ML models and Search infrastructure for recommendation and retrieval use cases Background in…

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• Build strong ML, GenAI, and agentic capabilities for actuarial use cases Develop models such as predictive risk and behavior models,…
• Hands-on experience with modern DS/ML tooling such as scikit-learn, PyTorch or TensorFlow, and distributed processing platforms such as Spa…

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• From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and d…
• The Team: Have you ever considered what powers the intelligent features behind seamless product experiences?

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• Experience with data engineering concepts, including ETL/ELT, Spark, Databricks, Delta Lake, data quality, and scalable data pipelines.
• Build and maintain modular, reusable ML and GenAI pipelines, including data processing, feature engineering, model training, evaluation, de…

Role highlights

• Strong candidates will have experience in several of: - machine learning and statistical modeling; - causal inference and experimentation;…
• What You’ll Work On Depending on your background, you may work across: - causal and heterogeneous treatment-effect modeling; - uncertainty…

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• This role focuses on building production AI agents and MCP (Model Context Protocol) integrations that automate real logistics workflows—dis…
• Design, develop, and deploy MCP servers exposing domain services as AI-consumable tools with proper authentication, observability, and erro…

Role highlights

• What you'll contribute Design, train, and fine-tune state-of-the-art language models Develop AI agents combined with retrieval-augmented la…
• The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also…

Role highlights

• Job Requirements Category ML Scientist Requirements ML Engineer Requirements Languages Python, AWS, Databricks Python, AWS, Databricks ML S…
• ML Scientists focus on designing state-of-the-art models for Ranking and Personalization, while ML Engineers specialize in building end-to-…

Role highlights

• Position Summary About the Role We are looking for a Staff Machine Learning Engineer to define and build the machine…
• This team will create the enabling layer that allows Data Scientists to self-serve deployment, experimentation, batch scoring, online infer…

Role highlights

• Job Requirements Category ML Scientist Requirements ML Engineer Requirements Languages Python, AWS, Databricks Python, AWS, Databricks ML S…
• ML Scientists focus on designing state-of-the-art models for Ranking and Personalization, while ML Engineers specialize in building end-to-…

Role highlights

• Key Responsibilities Design & Development Build scalable and robust AI-driven applications using LLMs and agentic frameworks.
• You will be responsible for designing, implementing, and deploying production-grade AI systems that leverage the latest in large language m…

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• Strong Python and machine-learning experience.
• Build and evaluate proof-of-concept video ML models.

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• Design, build, deploy, and maintain AI solutions, including custom applications, agents, copilots, assistants, LLM-powered workflows, and R…
• Lead AI solution delivery from ideation and proof of concept through production deployment, support, and continuous improvement.

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• This role is responsible for designing, building, and hardening platform infrastructure that powers enterprise agentic AI systems and perso…
• Design and build AI orchestration infrastructure that routes requests, manages multi-stakeholder context, and coordinates multi-step long-r…

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• Proven experience building agentic AI systems with Google ADK and/or comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI, O…
• Required Technical Skills 6+ years of experience in AI/software development, including significant experience in Generative AI and agentic…

Role highlights

• Large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough A…
• As a Lead ML Engineer, you'll be a technical champion driving this transformation—building breakthrough ML systems that others will study,…

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• As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that…
• Preferred: Experience applying ML/AI to customer support or trust & safety workflows — agent assist, routing, resolution recommendation, or…

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• Leverage machine learning/deep learning algorithms and foundational statistical concepts to solve real-world AI/ML problems at scale Implem…
• You will work closely with business stakeholders, AI Architect, AI Platform Engineers, and Data Scientists to translate complex business ch…

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• The Opportunity : As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and…
• You will have the opportunity to: Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with…

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• Partner with product, platform, and engineering teams to translate emerging agentic AI capabilities into reliable platform features.
• Requirements Bachelor’s Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics) 5-7+ years of exp…

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• The role blends hands-on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with…
• Experience in Healthcare domain with exposure to Fraud, Waste, and Abuse detection in pharmacy/claims, risk scoring thresholds, and audit s…

Role highlights

• Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent…
• Translate business and analytical requirements into end‑to‑end ML/AI solution design, Execute ML/AI engineering tasks including exploratory…

Role highlights

• Director of Data Science and AI Enablement, the AI Platform & ML Engineering is responsible for focusing on the platform…
• The Opportunity: We’re looking for an AI Engineer, AI Platform & ML Engineering to join our Data & AI Technology…