Top Machine Learning Jobs in Toronto

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The Behavioral Insights Lead will manage a team focusing on cryptocurrency risk analysis, detecting fraud patterns, and enhancing data-driven responses to high-risk activities, using machine learning and deep domain expertise in Bitcoin.

Lead and manage a team of software engineers to develop innovative hardware, software, and AI solutions for physical operations, ensuring customer satisfaction and team growth.

The Head of Analytics Engineering will lead the Analytics Engineering team, develop data platforms, and promote data literacy within Block's Risk organization, partnering with various stakeholders to enhance risk management capabilities.

Lead the design vision for Square's Financial Suite, managing design teams, driving design quality, and enhancing user experience through innovative financial tools.

The Staff Product Manager for Trust & Safety will develop fraud prevention strategies, drive cross-organizational execution, prioritize roadmaps, establish KPIs, and ensure customer trust while leading initiatives across products and markets.

The Senior Technical Product Manager will lead product vision for the ML team, collaborating with various teams to enhance user experiences through ML tools and data solutions, tracking KPIs and project lifecycles.

Provide legal counsel on data privacy and security issues, support incident responses, and review product launches while collaborating with cross-functional teams.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Develop and enhance credit risk models, applying statistical methods and machine learning for financial decision-making, while ensuring compliance with regulations.

The Vice President, AI Engineer role focuses on leveraging advanced data analytics and AI technologies to provide insights, develop predictive models, and enhance decision-making processes for business improvements.

The Vice President of AI Strategy and Change Management at BMO Capital Markets will leverage advanced analytics and ML to improve business processes and decisions, collaborate with teams, and drive innovative data strategies to enhance customer experience.

The Associate Full Stack Engineer supports data management and integration, builds optimal data pipelines, and collaborates with stakeholders for data infrastructure needs, focusing on optimizing operational efficiency.

The Associate AI DevOps Engineer designs data architectures, manages data securely, implements cloud platforms, and builds data pipelines. Responsible for optimizations and analytics for operational improvements.

The Managing Director, Head of AI and Digital Innovation oversees data management and innovation strategies, ensuring secure, efficient data practices and implementing advanced technologies to enhance business performance.

Design, deploy, and operationalize production-grade ML and agentic AI systems for financial crimes prevention. Build MLOps libraries, Copilot Studio agents and orchestration, translate models to scalable production implementations, and improve model monitoring and observability.

The Sr. Product Manager will lead the development of AI-driven solutions for financial services, focusing on enhancing customer support efficiency and user experience through collaboration and product strategy.

Work on real-estate secured lending analytics: build and apply quantitative models, monitor portfolio performance, design acquisition and account management strategies, manage projects, and partner with stakeholders to deliver data-driven credit risk solutions.

The Senior Cloud Architect will design and implement cloud solutions, drive DevOps culture, and manage short to medium-term cloud initiatives focusing on technology and application architecture.

As an Account Executive at Feedzai, you will lead end-to-end sales processes, develop consultative relationships, and drive adoption of AI solutions in the financial services industry, specifically targeting fraud and AML solutions.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

Oversees data management, ensures quality and security, implements cloud architecture, and builds data pipelines while collaborating with stakeholders.

The role involves executing audit and advisory assignments, assessing risks, preparing audit reports, and leading junior staff while collaborating with senior leaders to enhance governance and risk management practices.

Plan and execute internal audit and advisory engagements, evaluate risks and controls, lead SOX testing, produce clear findings and recommendations, leverage data analytics and automation, follow up on remediation, and coach junior staff while collaborating with senior stakeholders.