Top Machine Learning Jobs in Toronto

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

Lead hiring strategy and recruit a technical talent team. Drive recruiting metrics, develop assessment strategies, and partner closely with leadership.

The Product Manager will define the product strategy for North in the public sector, ensuring compliance and addressing government needs in AI adoption.

As a Machine Learning Engineer II, you will design, develop, and deploy AI/ML models, ensuring integration, scalability, and collaboration with cross-functional teams while mentoring junior engineers.

Lead the product vision for innovative AI technologies, translating research into marketable products, and collaborating with cross-functional teams.

The AI Content Evaluator will review and annotate content based on structured guidelines to ensure quality and consistency in data annotation for AI models.

Lead and grow a multidisciplinary UX and Product Design team to deliver strategic, visually excellent, and AI-enabled user experiences across owned and third-party platforms. Mentor designers, run workshops, collaborate with cross-functional teams and clients, integrate AI design principles, manage high-visibility projects, recruit and resource the team, and represent the agency externally.

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.

Seeking a New Graduate Software Developer for an 8-month contract to innovate on the SOTI ONE Platform, focusing on AI, diagnostics, and analytics. Responsibilities include developing software, enhancing product features, and collaborating in an Agile environment.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

As a Senior Product Manager, you will own product outcomes, develop roadmaps, translate market insights into action, and navigate technical complexities in a startup environment.

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.

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.

The Data Analytics and AI Architect will define and advance the organization's data and AI architecture, ensuring alignment with business strategy. Responsibilities include designing architectures, researching technologies, and managing compliance.

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.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

The Senior Audit Group Manager oversees financial crimes audits, managing teams and ensuring compliance with regulations while providing strategic guidance and leadership.

As an Engineering Manager, lead the development of an AI-powered platform, manage a cross-functional team, ensure high-quality releases, and mentor engineers while collaborating with product and engineering teams.

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

The role involves developing advanced AI frameworks and models for capital markets, integrating Generative AI tools, and leading team efforts in machine learning architectures.

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.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning models, lead data analysis, and implement MLOps practices within the AI Core team.