Top Machine Learning Jobs in Toronto

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

The SVP of Global Engineering will lead Maropost's engineering teams, align technical vision with business goals, and oversee high-quality product delivery, while integrating AI solutions and ensuring compliance in a high-growth SaaS environment.

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.

As a Research Scientist Manager, you will lead a global team in foundational research, focusing on AI systems, LLM training, data-centric ML, and innovation through collaboration, experimentation, and publication of findings.

The Senior Research Engineer will develop and deliver scalable ML solutions, build data processing pipelines, and communicate effectively within a collaborative team, while innovating through modern software development practices.

The Senior Applied Scientist will lead AI solutions in NLP and information retrieval for LegalTech products, mentoring teams and guiding strategy.

Lead and drive AI strategy and data science solutions, providing technical leadership, guiding business partners, and overseeing complex projects.

The Data Science Lead will develop marketing mix models, conduct statistical analyses, automate data workflows, and communicate insights to clients, utilizing advanced analytics techniques in a cross-functional team.

The Customer Success Manager will engage with enterprise customers to drive adoption of AI solutions, manage onboarding projects, gather feedback, and ensure customer satisfaction.

Lead engineering for agentic, domain-focused AI services, convert research into production-grade microservices, and optimize ML workflows and models.

The R&D Intern will work on NLP projects, develop algorithms, write academic papers, and collaborate with researchers on novel solutions.

Lead the development of advanced AI and machine learning models, mentor junior data scientists, and set strategy and direction for the Data Science team.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

Lead innovative product development in the entertainment sector, establish architecture and engineering standards, mentor engineers, oversee complex projects, and drive technical solutions.

As an Engineering Manager, you will lead a team of engineers, partner with product teams, and drive project delivery while fostering a culture of excellence and innovation.

Lead a team of engineers, ensuring delivery, quality, and innovation; collaborate on projects, foster team development, and promote engineering excellence.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

The Applied Scientist will drive technical decisions, automate ML workflows, collaborate with customers, and develop production-ready solutions based on research and product needs.

As a Machine Learning Engineer, you will research automating ML workflows, collaborate on product development, and support customer needs with technical solutions.

Lead the development and scaling of small language models for healthcare, managing data strategies, model training, and team operations, while ensuring ethical and clinical integrity.

The AI-Native Product Manager will drive the development of AI-driven features and automated workflows in retail e-commerce, prototype solutions, and influence product strategy, leveraging AI and automation to enhance customer experience.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.