Top Machine Learning Jobs in Toronto

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 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 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.

As a Machine Learning Engineer II, you will build advanced ML models and systems, collaborate with teams, and improve personalized experiences on Pinterest.

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

The Senior Manager, Operations Performance Ecosystem oversees planning, optimizes resource utilization, and enhances performance reporting while fostering stakeholder collaboration and driving productivity improvements.

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

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

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.

The Machine Learning Researcher will develop and deploy advanced machine learning models, collaborating with industry experts to innovate in AI for creative applications.

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.

Lead the development of AI platforms at Jerry.ai, managing technical integrations and improving customer experiences through innovative AI solutions and collaboration with engineering teams.

As a Technical Recruiter at Lazer, you will source and screen technical talent, manage candidate communications, maintain records in the ATS, and automate sourcing tasks using AI tools.

The role involves building, deploying, and maintaining ML infrastructure, optimizing systems, and ensuring production reliability while collaborating with data scientists and product teams.

The Applied Scientist will drive research on efficient adaptive machine learning, deploy ML systems end-to-end, and contribute to product strategy, focusing on real-world impact and innovation.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

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

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

The role involves tracking AI capabilities, evaluating performance, coordinating with multiple domains, and supporting governance efforts for effective AI portfolio management.

The Senior Manager, Credit Risk will design and execute credit risk strategies, lead a team, oversee collections, and ensure compliance with regulations. Key responsibilities include establishing risk policies, optimizing lending products, and building high-performing teams.

The Applied Researcher will develop and deploy ML models and data pipelines for search relevance and query understanding, collaborating with teams to drive innovations in NLP and deep learning.