Top Machine Learning Jobs in Toronto

Lead the data science team in developing machine learning models for optimization and audience modeling, while driving business value and collaboration with stakeholders.

The role involves supporting IT Asset Management product sales by leveraging technical expertise, facilitating workshops, and educating clients on service offerings.

As a Senior Data Scientist, you will apply machine learning to optimize customer acquisition and retention strategies, partnering with various teams to influence business outcomes.

The Director of Digital Technology for Snacking will drive the technology strategy and digital transformation within the Global Snacking division, emphasizing innovation and customer experience, and overseeing tech-related investments and implementations.

Lead and mentor a team of Product Managers to drive customer acquisition, engagement, and retention for credit products. Define growth strategies and success metrics while fostering collaboration across technology and design teams.

The Senior Marketing Analytics Manager will conduct data analysis to guide marketing strategies, design marketing experiments, develop predictive models, and collaborate with cross-functional teams to enhance marketing insights through advanced analytics.

Lead the modernization of trade surveillance platforms, manage engineering teams, ensure compliance, and enhance detection using machine learning.

Lead and manage a team of software engineers to develop innovative hardware, software, and AI solutions for physical operations, ensuring customer satisfaction and team growth.

Lead fraud strategy and analytics at Capital One, managing a team, developing strategies, and collaborating across departments to prevent fraud while driving growth.

The Engagement Manager II oversees the deployment of AI solutions, leads workshops, manages customer relations, and drives process improvements in project execution.

Lead end-to-end personalization initiatives: define problems, build and deploy machine learning and statistical models for recommendations and layout optimization, integrate scalable solutions with engineering and product, monitor performance, communicate insights to stakeholders, and mentor junior data scientists.

The Senior Technical Product Manager will lead product vision for the ML team, collaborating with various teams to enhance user experiences through ML tools and data solutions, tracking KPIs and project lifecycles.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras. Oversee model lifecycle and ensure reliable features by collaborating across teams.

Lead technical vision and execution for enterprise AI, data, and automation initiatives. Architect and deliver scalable AI systems, data pipelines, and intelligent services; mentor engineers; drive cross-functional alignment, risk mitigation, and operational excellence; prototype solutions and influence org-wide strategy to maximize business impact.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data to derive insights, and collaborate with various teams to enhance customer experience and fraud prevention.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

Lead strategy and roadmap for platforms that deliver personalized, scalable promotional experiences. Partner with Engineering, Marketing, Data Science, and Analytics to build dynamic offers, experimentation, machine learning-driven targeting, and measurement. Drive discovery, launch, iteration, and integrations while ensuring responsible gaming and measurable business impact.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

Lead the Consumer Risk product for Affirm, focusing on Credit, Pricing, and Fraud, while managing a team of Product Managers and collaborating cross-functionally to drive product strategy and execution.

The Analyst, Risk Modeling role involves applying quantitative methods to financial and risk management, developing models, and conducting analyses to aid financial decision-making, while ensuring compliance with regulations.

Conducts risk modeling and analysis using statistical methods to enhance financial decision-making and risk management within an assigned portfolio.

Lead and scale AI and Machine Learning initiatives, architect frameworks, manage budgets, oversee engineering teams, and drive innovation in AI solutions.

Develop and launch machine learning algorithms for Lyft's platform, collaborating with engineering and business teams to apply machine learning solutions. Responsible for building statistical and optimization models and evaluating their impact on business goals.