Top Machine Learning Jobs in Toronto

Lead partner engagement and POC execution for Agentic Trust: onboard and manage partners, define POC success criteria, track portfolio status, capture learnings, build scalable operating processes, enable market adoption, and coordinate cross-functional stakeholders to drive commercialization.

Lead Mastercard's AI thought leadership: monitor AI/data trends, produce research and executive content, manage end-to-end content lifecycle, measure program impact, and represent the company at events while partnering with product, engineering, marketing, and executives.

As a Product Manager, you'll lead product vision and strategy, utilizing customer insights and technology to create innovative solutions while collaborating with multiple teams.

Lead pricing and interchange analytics to define country pricing strategy, run financial simulations, model outcomes, and support account teams. Design strategies, conduct competitive and economic analysis, supervise cost studies, manage SQL ETL and BI processes, and prepare recommendations for management while collaborating with cross-functional stakeholders.

Lead a data science team to design and deliver merchant registry and profiling ML capabilities for onboarding and monitoring. Define strategy, guide model development and validation, promote reusable data assets, partner with Product and Engineering, drive Agile delivery, hire and mentor team members, and communicate impact to senior leadership to scale production ML systems on modern cloud/data platforms.

Lead technical product development for Business Identity offerings: define API and data requirements, prioritize roadmap, coordinate cross-functional teams, manage product lifecycle from discovery to go-to-market, and measure outcomes to ensure scalable, secure identity and intelligence services.

Lead product strategy and roadmap for AI-native capabilities in CrowdStrike's Next-Gen SIEM. Collaborate with engineering, data science, research, marketing, sales, and support to design, deliver, and position AI-driven detection, investigation, and prevention features. Conduct competitive analysis, define use cases, and engage customers to inform product direction while supporting go-to-market and cross-functional execution.

Lead cross-organizational technical strategy and execution for core sharing and collaboration systems. Architect and implement foundational frontend/backend and platform solutions at massive scale, drive AI/LLM adoption, mentor engineering leaders, resolve systemic bottlenecks, and remain hands-on in critical design, prototyping, and code contributions.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Own vision, strategy, and roadmap for cost-optimization and energy-management products for fleets. Translate telematics and operational data into customer-facing features, run discovery, prototype MVPs, define success metrics, and ship end-to-end with cross-functional teams.

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 a small team and contribute hands-on to design, develop, deploy, and iterate AML and crypto risk detection machine learning models. Own technical roadmap, collaborate with Product and Engineering, ensure model quality, explainability, documentation, and governance, and drive production performance and outcomes across the model lifecycle.

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

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

Lead a team of ML engineers to develop and improve fraud detection models, defining strategies and fostering collaboration across functions to ensure effective model integration.

Senior Sales Engineer supporting pre-sales for Mastercard Identity in North America. Act as product expert to qualify prospects, design technical solutions, run proofs of value, provide training, create documentation, present at events, and relay customer feedback to Product. Leverage data science and machine learning knowledge, API/web architecture expertise, Python and SQL skills, and strong communication to drive sales and ensure smooth onboarding.

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.

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.

The Machine Learning Engineer II crafts and deploys advanced AI solutions leveraging machine learning technologies, focusing on real-world applications and scalable systems. Responsibilities include coding for model deployment, managing large datasets, and working within a collaborative AI team.

Lead execution of BI strategy, manage multidisciplinary teams, prioritize large BI initiatives, ensure quality deliverables, embed MLOps best practices, drive innovation and partnerships, and deliver analytics solutions for Product, Underwriting, and Pricing.

Use legal expertise to create and evaluate training data for AI models. Perform legal research and analysis, provide actionable feedback, follow annotation best practices, support senior staff, present findings to stakeholders, and advocate for responsible AI.

Build and own end-to-end ML features for an agent management platform in healthcare: design data models, build pipelines and backend services, integrate frontend when needed, ground and evaluate agent behavior using clinical data (FHIR/HL7), prototype with hospital partners, and create novel solutions for agent observability, evaluation, and continuous improvement.

Senior full-stack developer to design, build, and optimize cloud-native microservices using Angular, Spring Boot and AI/ML techniques. Troubleshoot, ensure security and performance, integrate systems, apply AI-driven code analysis, and mentor junior developers across the SDLC.

Perform end-to-end BI and data analytics work: extract and transform large datasets, build data warehouses and predictive models, create dashboards and reporting, manage client relationships, oversee analysts, and contribute to proposals and marketing as needed.

Lead product strategy for consumer credit, underwriting, merchant pricing, and loan economics. Define features, specs, and metrics; partner with engineering, analytics, design, commercial, legal, and capital to launch and scale products across channels and geographies.