Top Machine Learning Jobs in Toronto

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 role focuses on leading the Data Science & AI Guild, enhancing community engagement, skill development, and AI adoption across Mastercard, while collaborating with various stakeholders and driving strategic initiatives.

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

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.

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

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

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

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.

As a Product Manager, you will develop customer-centric products leveraging technology, lead cross-functional teams, and define success metrics while fostering innovation and team culture.

Lead the AI Platform team at Zapier, focusing on enabling product teams to ship AI/ML-powered features efficiently and safely.

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.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

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

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.

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.

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 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.

As a Software Engineer II, you'll design and implement components for Braze's machine learning platform, ensuring high coding standards and collaborating closely with teams to facilitate customer success.

Lead global vaccine formulation and adjuvants development, drive platform roadmaps, implement in-silico/ML and automation approaches, support project plans, mentor scientists, and enable technology transfer and industrialization.

The Senior Consultant, AI Risk Management will oversee AI risk assessments and advise on risk mitigation, ensuring compliance with the AI Framework at CIBC.

This role involves using advanced analytical methods to extract insights from data, developing predictive models, and collaborating with teams to improve business decision-making and customer experience. Requires expertise in data mining, statistical analysis, and machine learning techniques.

The Senior AI Developer will design and develop back-end components, optimize platform performance, mentor team members, and ensure high-quality deliverables.

As a Data Scientist, you'll design and deploy AI solutions, collaborate with teams, shape AI strategy, and enhance patient support through intelligent systems.