Top Machine Learning Jobs in Toronto

Execute audit assignments, assess risks, manage communication with stakeholders, mentor junior staff, and drive digital transformation initiatives.

The Senior Consultant, Digital Strategy manages GenAI and ML initiatives, develops digital channels for CAM clients, and oversees projects from ideation to implementation. They collaborate with AI scientists, drive efficiencies, and present initiatives to senior leadership while ensuring alignment with the digital strategy.

Lead the delivery of AI initiatives, manage programs, facilitate Agile practices as a Scrum Master, and oversee AI model governance to ensure compliance and business efficiency.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

The Senior Product Manager will lead the vision, strategy, and execution of AI Contract Intelligence features, collaborating with teams to drive product development and market analysis.

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 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 design and deliver AI solutions, manage model development, communicate research, and collaborate across teams to translate user needs into technical requirements.

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.

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.

The Senior Applied Scientist will design and deliver AI solutions leveraging ML and NLP, managing model development and collaborating with stakeholders to align technical objectives with business needs.

The Senior Applied Science role involves designing AI solutions that enhance products, managing model development, and collaborating with engineers in an agile setting.

Lead the AI quality strategy for content migration, ensuring quality and timely delivery of projects while mentoring and guiding less experienced colleagues.

The Lead Applied Scientist innovates and drives AI solutions by leading cross-functional teams, mentoring others, and applying machine learning and NLP expertise to enhance products.

Lead the AI Software Development Engineering team, managing software lifecycle, collaborating with stakeholders, overseeing AI applications, and ensuring team success.

Lead the development of neuro-symbolic AI systems, focusing on multi-modal models and domain-specific reasoning to enhance the interaction of legal and tax professionals with information.

Lead engineering teams to enhance retailer experiences, oversee project management, ensure software quality, and foster technical excellence.

In this role, you'll develop and optimize machine learning models for advertising product systems, contributing to strategic decisions and collaborating with a diverse team to improve business outcomes.

As a Senior Associate in Business Operations, you'll drive data-driven decisions, conduct analyses using machine learning, and collaborate on user acquisition strategies.

Lead the Marketplace Automation & Growth at Jerry.ai, shaping strategy and execution for the insurance marketplace, focusing on user experience and carrier performance.

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.

Lead the development and implementation of governance processes and prioritization products, driving adoption and embedding it into the organization's culture.

The role involves preparing and analyzing healthcare data using machine learning and generative AI, while collaborating across teams to improve clinical research outcomes.

Join the Sanofi Data and AI Future Catalyst Program as a Computational Science Catalyst, engaging in data preparation, ML model development, and collaboration across teams to improve clinical research and patient outcomes.