Top Machine Learning Jobs in Toronto

Manage and mentor a growing team of engineers, prioritize projects, ensure high-quality deliverables, and foster an inclusive work environment.

The Principal Machine Learning Infrastructure Researcher will drive innovation in hardware systems for AI, collaborate on designs, publish research, and lead a team of engineers.

The Senior Machine Learning Engineer will design, implement, and optimize MLOps systems, mentor teams, and solve complex problems while supporting scalable ML models and strategies.

The Manager, AI and Innovation Communications at Thomson Reuters will develop content and communications programs, support storytelling, monitor AI trends and engage with media, while managing cross-functional teams.

Lead AI and innovation communications strategy, product launches, customer stories, and executive thought leadership for Thomson Reuters, enhancing the firm's position as a leader in AI for professionals.

The Senior Manager of AI and Innovation Communications will lead communications strategies for AI products, customer storytelling, and executive thought leadership, engaging with technology teams to craft impactful narratives.

The Head of Digital Marketing will create and lead the digital strategy for client engagement, optimize marketing performance, and manage a team while collaborating across the business.

Manage a team of ML engineers to develop machine learning solutions for underwriting applications. Set technical strategy, mentor engineers, and collaborate with teams across the organization.

Develop chatbots on Google Cloud Platform, focusing on Dialogflow CX, leveraging NLP and ML techniques, and ensuring smooth integration with backend systems.

Design and develop MaintainX's search and data retrieval platform, optimizing distributed systems for performance and scalability, while collaborating on search modeling and integrating backend services.

Lead complex programs in Ads, focusing on AI-assisted campaign experiences. Collaborate across teams to translate strategies into execution and improve advertiser performance.

The Principal Enterprise Architect for the AI Platform leads technical strategy for AI systems, defining architectures, governance, and standards while influencing senior leadership and mentoring engineers.

Lead development, verification, and optimization of statistical and machine learning models for retail credit risk. Architect end-to-end Databricks model pipelines, implement production strategies using tools like FICO Decision Optimizer, Python, and SAS, and apply MLOps best practices. Ensure model governance, validation documentation, performance monitoring, and clear communication of results to technical and non-technical stakeholders while collaborating across risk, credit decisioning, and validation teams.

Collect, clean, and validate large datasets; perform exploratory data analysis; design and maintain dashboards (Power BI/Tableau); automate data pipelines and reporting; collaborate with finance, operations and IT; present findings and recommend strategic actions; assist with budgeting, forecasting and financial modeling as needed.

The Audit Manager II oversees audits related to financial crimes, manages a team, conducts risk assessments, and ensures regulatory compliance while enhancing operational performance.

Design and tune conversational AI (IVAs) to deliver human-like customer experiences. Advise clients on CX automation, author dialogs and journey storyboards, train and optimize bots, analyze performance, and collaborate with cross-functional teams to meet project goals and drive follow-on services.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

Join a research-focused team to integrate AI (LLMs and autonomous agents) into mobile platform development. Build AI-driven code generation and agentic systems, design core mobile components, and collaborate across teams to deploy AI-enhanced developer tooling and monitoring for HarmonyOS and large-scale mobile ecosystems.

Lead enterprise-level analytics and ML efforts to build predictive models, mine large structured and unstructured data, and provide data-driven recommendations to senior stakeholders. Collaborate with product teams to design AI/ML solutions, advance data strategies, implement big data and visualization tools, and manage ambiguity while applying risk management and ethical considerations.

Lead integrated, full-funnel growth marketing for CIBC's consumer and business credit card portfolio. Set strategy, talent development, and CoE marketing standards; oversee brand, creative, media, performance marketing, reporting, and budget. Drive data-driven lifecycle optimization using analytics, attribution, AI/ML, and ensure regulatory and risk compliance.

Lead and develop a team of decision scientists to build, deploy, monitor, and govern credit risk models for underwriting, account management, and collections. Ensure production readiness, data preparation, feature engineering, model performance monitoring, and regulatory alignment. Partner with Technology and Product, apply ML/AI selectively, communicate insights to senior leadership, and drive model risk management.

Lead design, development, validation, and governance of retail credit loss forecasting models using statistical and machine learning methods. Oversee full model lifecycle, monitoring, automation, regulatory compliance (IFRS9/CECL, SR 11-7), stakeholder engagement, and mentor junior analysts to deliver robust forecasting and risk insights.

Lead development and scaling of machine learning and deep learning solutions using big data to generate business insights and improve customer experience. Design predictive models, perform large-scale data analysis and data wrangling, evaluate AI/ML feasibility, and collaborate with product and analytics teams to operationalize models. Provide technical consulting, influence stakeholders, and apply risk and ethical frameworks while independently handling non-routine problems and broader analytics responsibilities across business units.

Act as Dext's North America accounting and industry expert, influencing product strategy, go-to-market, and integrations. Represent the company externally, gather customer feedback, and support Sales, Marketing, and Product to align solutions with regional accounting practices and regulations.

The role focuses on extracting, cleaning data, building and maintaining machine learning models, and optimizing business strategies using data science methodologies.