Top Machine Learning Jobs in Toronto

This role focuses on driving finance technology transformation initiatives, implementing innovative solutions, and leading a team to enhance operational efficiency and compliance.

The Senior Specialist, AI, ML & Data Science role focuses on developing analytical solutions for fraud prevention, leveraging advanced analytics and machine learning to provide insights, influence decisions, and enhance organizational performance.

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 Senior Product Manager will lead Sanofi's global data platform, defining strategy, managing execution, advocating for user experience, ensuring governance, and driving cross-functional collaboration.

The Senior AI/ML Research Engineer will conduct advanced AI research, develop algorithms, mentor juniors, and publish findings while collaborating across teams to create innovative AI solutions.

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

The AI Solution Architect will design and implement AI-powered solutions, collaborate with engineering teams, drive architectural decisions, and support scalable, secure AI designs for clients.

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 Senior Associate in Business Operations, you will lead data-driven initiatives, partner with teams for user acquisition, and optimize business strategies through experiments and automation.

Develop and optimize auto-labelling systems using ML and computer vision, manage data pipelines, and collaborate with researchers.

Lead end-to-end development of AI-powered audit products for tax, accounting, and audit professionals. Shape product vision and roadmap, prioritize backlogs, conduct customer discovery, build business cases, measure product metrics, and guide cross-functional teams to deliver scalable, insight-driven audit workflows.

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.

As a Machine Learning Engineering Intern at Cresta, you'll design, develop, and deploy AI Agent solutions, collaborating across teams to implement cutting-edge AI technologies in practical applications.

This role leads a team of AI/ML professionals, focusing on predictive AI systems. Responsibilities include mentoring, strategic planning, and collaboration with cross-functional teams to deliver enterprise-level solutions.

Lead a team of machine learning scientists, develop AI systems for complex business problems, and drive innovation in AI methodologies. Ensure compliance and foster a collaborative work environment.

The Senior Sales Engineer will drive pre-sales success, design AI solutions, run demos, and guide enterprise customers in using H2O.ai's platform for AI adoption.

The Senior Enterprise Account Executive manages large enterprise accounts, develops strategic plans, executes complex sales cycles, and collaborates with partners in AI and data ecosystems to drive revenue.

The Senior Engineering Manager will lead a cross-functional team to develop growth product solutions, manage engineering processes, and enhance operational efficiency.

Manage product strategy for search and embedding models, focusing on performance, user needs, and market competitiveness while collaborating with cross-functional teams.

The Lead Machine Learning Engineer will design personalized memory systems for Search and Recommendations, integrating them to enhance user intent understanding and ranking models.

The Director of Data Analytics will lead the analytics team, develop data strategies, improve data quality, and drive insights for product innovation at KEV.

The Sales Engineer will drive revenue through complex sales, identify client issues, deliver demos, and support internal resources, while acting as a technical contact.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

As a Senior Machine Learning Engineer, you will develop ML/AI applications, enhance operational safety and efficiency, and collaborate with various teams on innovative projects.