Top Machine Learning Jobs in Toronto

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

The Manager, Wholesale Credit Methodology leads the development of credit risk models for corporate customers, enhancing risk management and compliance processes. This role involves quantitative analysis, regulatory alignment, and collaboration on risk strategies.

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.

Manage audit assignments across segments, assess risks, collaborate with leadership, coach junior staff, and utilize analytics and technology for effective audits.

Lead audit and advisory projects, develop risk-based audit strategies, and mentor junior staff. Collaborate with senior management to enhance governance and risk management.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

As a Data Scientist II, you'll develop data-driven solutions using machine learning, collaborate cross-departmentally, and maintain data mining tools to deliver actionable insights.

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 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.

The intern will contribute to ML model design, coding, testing, collaborating with teams, and analyzing data to support decision-making.

The Data Scientist will analyze customer health, conduct quantitative research, develop insights for teams, and inform strategy based on data analysis.

As a Senior/Principal Machine Learning Engineer, you will design and develop generative AI models, lead technical vision, and mentor a team, focusing on AI-driven solutions for the AEC industry.

The Technical Pre-Sales Consultant will engage with clients to understand their needs, recommend AI and data solutions, develop proposals, and deliver technical presentations, ensuring alignment of solutions with client requirements.

The Vice President, UX Designer at BMO will utilize advanced analytical methods to interpret complex data, design predictive models, and collaborate with teams to enhance decision-making and productivity.

The Managing Director leads Wealth Management optimization teams, driving revenue and client engagement through data-driven strategies, campaign management, and analytics while developing a high-performance culture.

The role oversees data management practices, ensures data quality, creates data pipeline architecture, and builds analytics tools for actionable insights while collaborating with stakeholders.

The Analyst, UX Lead develops predictive models using machine learning, analyzes data for insights, and collaborates on data-driven solutions to improve business outcomes.

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 the development of Authorization products, manage the full product lifecycle, drive innovation with external partners, and collaborate across teams.

Lead the Listing Quality pod to improve product listings using machine learning, guide junior Data Scientists, and develop strategies.

Develop machine learning-powered search ranking models and enhance personalization for search and discovery to support local retailers in a growing marketplace.

Develop and execute applied machine learning projects, mentor engineers, design features, and improve user ads action prediction for the ads conversion modeling team.

Lead the technical vision for personalization, resolving complex ML challenges, and aligning strategies across teams while mentoring senior ML engineers.

Lead the technical vision and architecture for personalization at Launch Potato, solving complex ML challenges and driving innovation across teams.

The Principal ML Engineer will establish the technical vision for personalization, solving complex ML challenges and influencing strategy across teams. Responsibilities include defining ML architecture, leading initiatives, mentoring engineers, and championing responsible AI practices.