Top AI & Machine Learning Jobs in Toronto, ON

24 Days AgoSaved
In-Office
Toronto, ON, CAN
Senior level
Senior level
Food • Retail • Agriculture • Manufacturing
Leads Responsible AI governance and operational oversight across McCain’s AI portfolio. Establishes standards, evaluation methods, risk classifications, stage-gate reviews, testing and red-teaming practices, portfolio reporting, audit readiness, and compliance controls. Partners with AI, Engineering, Risk, Privacy, Architecture, and business stakeholders to ensure AI solutions are safe, effective, transparent, reliable, and scalable. Provides governance leadership, continuous improvement, and people management while maintaining separation from use case intake and prioritization.
Top Skills: Ai Evaluation MethodologiesAi/MlEu Ai ActIso/Iec 42001Model Testing FrameworksNist Ai RmfRed-TeamingResponsible Ai Frameworks
Reposted 27 Days AgoSaved
In-Office
Toronto, ON, CAN
Expert/Leader
Expert/Leader
Food • Retail • Agriculture • Manufacturing
Lead and develop the Forward Deployment Engineer (FDE) practice for McCain's Commercial (Yellow) portfolio. Set capability frameworks, coach and hire FDEs, align resources to business priorities, personally lead select AI engagements, create reusable playbooks, and ensure Responsible AI, security, and governance compliance while partnering with platform, knowledge, and governance teams to drive measurable enterprise AI outcomes.
Top Skills: Ai Deployment & EnablementAi PlatformKnowledge EngineeringResponsible Ai
Reposted 27 Days AgoSaved
In-Office
Toronto, ON, CAN
Expert/Leader
Expert/Leader
Food • Retail • Agriculture • Manufacturing
Lead and grow McCain's Forward Deployed Engineering (FDE) practice for Manufacturing within the Yellow AI portfolio. Manage hiring, assignments, performance, and development of senior FDEs; set standards, playbooks, and practices; personally lead select AI engagements; partner with platform, engineering, governance, and business leaders to drive adoption, measurable impact, and compliant, responsible AI deployments. Provide executive representation and resolve resource conflicts while embedding with teams for coaching and execution.
Top Skills: Ai Deployment And EnablementAi PlatformArtificial IntelligenceKnowledge EngineeringResponsible Ai
Reposted 27 Days AgoSaved
In-Office
Toronto, ON, CAN
Mid level
Mid level
Food • Retail • Agriculture • Manufacturing
Research and evaluate emerging AI and agentic technologies, recommend and support pilots, partner with engineering to scale proven solutions, document findings and assess risks including security, privacy, and Responsible AI, and communicate technical insights to business stakeholders.
Top Skills: Agentic PlatformsAi ModelsResponsible Ai
Reposted 27 Days AgoSaved
In-Office
Toronto, ON, CAN
Senior level
Senior level
Food • Retail • Agriculture • Manufacturing
Lead enterprise AI platform deployment, adoption, governance, and measurement. Plan rollouts from pilots to enterprise scale, partner with Security/Legal/IT, configure identity and provisioning, build enablement programs, create adoption analytics and executive reporting, and remove adoption barriers to maximize business value.
Top Skills: Ai HubAnthropic ClaudeAzure OpenaiClaude CodeEnterprise Ai PlatformsGoogle GeminiIdentity ManagementLarge Language ModelsMicrosoft Azure Ai ServicesMicrosoft CopilotScim ProvisioningSmall Language ModelsSso
Reposted 27 Days AgoSaved
In-Office
Toronto, ON, CAN
Expert/Leader
Expert/Leader
Food • Retail • Agriculture • Manufacturing
Lead and grow the Forward Deployed Engineering (FDE) practice: define competencies, hire and develop senior FDE talent, manage resource allocation, own practice standards and playbooks, and personally lead strategic AI engagements. Partner with AI, business, and governance stakeholders to ensure responsible, measurable AI-enabled outcomes and drive adoption across the organization.
Reposted 27 Days AgoSaved
Hybrid
Toronto, ON, CAN
Expert/Leader
Expert/Leader
Food • Retail • Agriculture • Manufacturing
Lead and grow the Forward Deployment Engineering (FDE) practice for Marketing: set standards, hire and develop talent, allocate resources, and personally lead AI engagements. Partner with business and engineering teams to deliver AI-enabled solutions, drive adoption, and ensure Responsible AI, security, governance, and measurable business impact.
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