Top Machine Learning Jobs in Toronto

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

As Product Manager for Complaints, you will lead complaint management strategy, drive team collaboration, oversee product development, and ensure regulatory compliance across Block's businesses.

The Senior Lead AI Solutions Consultant at Braze drives revenue by enhancing the understanding of the BrazeAI tools, engaging with enterprise customers, leading workshops, and collaborating across teams to improve products and customer solutions.

Manage the delivery of AI-powered agent assistance projects from design to deployment, including financials, risks, and stakeholder engagement.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

Design, implement, and improve modular components in a machine learning product. Collaborate with teams, customers, and apply Python expertise in a cloud environment.

As Product Lead for Engagement, you will define strategies to increase seller engagement, optimize usage of products, and collaborate across teams to enhance seller experiences.

Lead initiatives to enhance dispute resolution and scam protection for Cash App users, ensuring compliance and improving customer trust.

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

As a Machine Learning Engineer, you'll design and implement ML pipelines, optimize models, collaborate with various teams, and document processes, all focused on delivering innovative analytics solutions.

The role involves utilizing advanced analytical algorithms to mine data, develop predictive models, and drive data-driven solutions, focusing on business decisions and optimizing data strategies.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The Director will refine loss forecasting methodologies, drive analytics, lead a team, and enhance financial decision-making through quantitative modeling and risk assessment in an evolving retail risk environment.

The AI Engineer will develop scalable AI systems, implement machine learning models, optimize data pipelines, and provide analytics consulting.

The Solutions Engineer will engage customers on AI solutions, support technical sales, and guide clients on implementation and strategy.

As a Senior Experience Designer, you will research, design, and validate generative AI workflows for Autodesk's AEC applications, collaborating with cross-functional teams to innovate user experiences.

The AI Automation Lead develops AI techniques for learning templates, trains GPT models, automates tasks, and collaborates with teams to enhance efficiency.

The IT Internal Audit Assistant Manager evaluates IT security controls, manages audit projects, and prepares reports while fostering risk awareness and improvements.

The Legal Counsel, Contracts will analyze, negotiate, and manage high-risk contracts while providing legal guidance and ensuring compliance with company policies.

As Associate Commercial Counsel, oversee contract management, analyze and negotiate contracts, and mitigate legal risks in commercial transactions. Requires bilingual proficiency and 5+ years of experience in corporate or law firm environments.

Lead Moneris' AI-driven product strategy, define roadmaps, collaborate with partners, evaluate technologies, and ensure scalable implementation across products.

The Principal Product Manager will oversee product vision and strategy for AI solutions at Autodesk, collaborating with cross-functional teams and acting as a customer advocate to drive product development and innovation. Key responsibilities include roadmap management, customer engagement, and monitoring industry trends, requiring extensive experience in product management and machine learning.

Lead the development of Governance Process and Prioritization product, driving adoption across Sanofi, engaging stakeholders, and delivering incremental improvements.

The Managing Director will develop analytic solutions for credit risk in Retail and Business Banking, manage a team of 20-30 professionals, and ensure regulatory compliance through model management.