Top Machine Learning Jobs in Toronto

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.

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.

Lead end-to-end personalization data science initiatives: design and deploy machine learning and statistical models into production, optimize recommendations and content layouts, partner with engineering/product/analytics, monitor performance, and mentor junior scientists.

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.

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.

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 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 engineering strategy and execution for GitLab's growth and monetization platforms including self-service purchase, billing, usage metering, entitlements, quote-to-cash, integrations (Zuora, Salesforce), and API-first scalable architectures. Align cross-functional partners, ensure reliability, compliance (SOX), and apply AI/ML for predictive pricing and usage forecasting to support usage- and impact-based pricing.

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 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.

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

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.

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 Principal Researcher will lead AI research initiatives, mentor teams, translate research into scalable systems, and represent Huawei in the global AI community.

Develop and commercialize firmware for neural network processing on ARM-based processors. Design embedded software for real-time processing, manage buffer interrupts, and optimize compilers.

Lead and grow the engineering team, own delivery and architecture, and drive NLP and AI initiatives. Manage NLP pipelines, cloud and tooling decisions, technical debt, budgets, and cross-functional enterprise integrations while enabling AI adoption and predictable production delivery.

Senior engineering leader responsible for driving DevOps and SRE culture, ensuring platform reliability (SLOs/SLAs), leading incident management, advancing SRE with AI/ML, architecting cloud-native, containerized systems, mentoring engineering teams, and aligning technical initiatives with business goals.

Lead process improvement projects across ecommerce operations, replenishment, and supply chain. Identify opportunities through data analysis, design and pilot solutions, define requirements, implement change management, and measure performance to improve inventory positioning, fulfillment, and customer experience.

Support Market Risk Solutions by analyzing market risk processes, documenting current/future states, proposing solutions, managing projects, executing testing, and engaging stakeholders to deliver regulatory and internal market risk measurement, reporting, and capital calculation capabilities.