Top Machine Learning Jobs in Toronto

The Data Scientist delivers business value with data through analytics solutions, collaborates with engineers, and elevates data skills in business.

As the Founding Product Manager, you'll drive product strategy and execution, collaborating with cross-functional teams to deliver innovative AI-native design experiences.

The Senior Data Scientist role involves analyzing data using advanced algorithms, developing predictive models, and collaborating with teams to enhance data-driven decision-making and improve business strategies.

As an ESG & CSR Responsible AI Intern, you'll develop AI ethics principles, collaborate with teams, conduct audits and promote transparency in AI practices.

The Senior Applied Scientist will develop and manage AI solutions for Thomson Reuters, focusing on machine learning, NLP, and information retrieval to drive product innovation. They will collaborate with product teams and stakeholders, ensuring technical alignment with business goals.

Lead sales efforts in the Insurance sector, driving customer acquisition and managing relationships to expand business. Collaborate with teams to close deals and mentor staff.

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.

Lead the development of AI agents for HR and Finance, mentor engineers, drive technical excellence, and ensure integration with Workday.

As a Senior Product Manager for Sanofi's Global Data Platform, you'll define product vision and strategy, manage execution and delivery, ensure user advocacy, ensure compliance, and lead cross-functional teams to drive digital transformation through data and AI solutions.

The Sr. AI Scientist will lead AI projects by applying advanced analytics, collaborate with various teams, and mentor junior members, enhancing AI techniques.

As a Senior Research Engineer, you will develop ML solutions, build scalable systems, collaborate with teams, and innovate within the field of AI. You will apply modern software practices and contribute to all stages of software development, driving digital transformation and improving customer experience.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

The Data Governance Manager will develop and implement governance frameworks for unstructured data, aligning with responsible AI practices and compliance regulations. This role involves collaborating with data science teams, enhancing data management processes, driving change through training and insight leadership, while managing risks and advocating for data quality.

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 role involves executing audit assignments, managing relationships with management, leveraging analytics, and leading junior staff in a hybrid work environment.

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.

As a Principal MLOps Developer, you'll build scalable ML training pipelines, optimize training systems, and collaborate with AI researchers to innovate within the AEC industry.

Lead and manage a research team focused on foundational ML research and development, particularly for LLMs, in collaboration with academic partners. The role involves strategic planning, innovation, and contributions to high-quality research publications.

Utilizes advanced algorithms to analyze data, builds predictive models, collaborates on data strategies, and maintains data pipelines. Guides business decisions through data insights.

Oversee the Business Continuity Program, ensuring operational resilience, crisis management, and compliance with industry standards while leading communication and training efforts.

The Senior Associate, Business Operations will drive data-driven initiatives, lead A/B tests, optimize processes, and collaborate with marketing and product teams to enhance user acquisition and efficiency.

As a Sr Manager, you will lead strategy and execution for Jerry's quoting engine, working with cross-functional teams to optimize user experience and drive business growth.

The Director of Business Operations & Strategy will scale Jerry.ai's insurance business, focusing on strategy, systems, and user experience across departments to drive growth towards a $10B business.

The Head of Marketplace Automation & Growth will scale the insurance business, lead automation and strategy, and manage team performance to achieve growth objectives.

The Machine Learning Engineer will develop and optimize ML models for FPGA Compiler, collaborate with engineers, and enhance compiler performance using advanced ML technologies.