Top Machine Learning Jobs in Toronto

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

The Full Stack Developer will create scalable applications, manage backend services in Python, design frontend with React, deploy on Azure, and integrate AI workflows.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

You will design and build scalable ML infrastructure services, improve productivity for ML engineers, and enhance MLOps across the company.

Lead AI/ML Engineer responsible for architecture, algorithm development, and team mentorship. Collaborate on data integration and performance optimization in scalable environments.

As a Senior Machine Learning Engineer, you'll design and implement ML models, develop data pipelines, and collaborate on AI features at Mural.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

The Senior AI Engineer will develop AI features for observability tools, collaborate with cross-functional teams, and deliver scalable AI solutions.

Design and implement machine learning algorithms for robotic manipulation, focusing on RL and IL. Collaborate across disciplines to ensure integration and successful deployment.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.

As a Machine Learning Engineer, you'll build AI tools, optimize language models, develop workflows, and collaborate with product teams, drawing on 3+ years of Python experience. You'll engage in prompt engineering and data analysis, focusing on impactful AI applications.

Develop and optimize machine learning models for a conversational AI coaching product, ensuring performance and user experience improvements.

Design and implement a scalable MLIR-based compiler framework for cloud-based AI inference, collaborating with multiple teams to optimize model deployment.

The role involves building and maintaining an MLOps platform, optimizing machine learning models for security data, and collaborating with teams to enhance data processing systems.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

The Staff Machine Learning Engineer will lead machine learning projects, mentor junior data scientists, and promote data-driven practices while collaborating across teams to improve products.

Develop and deploy AI solutions for enterprise clients, focusing on large language models and agentic systems integration while ensuring quality, scalability, and security.

Lead the development of AI agents, focus on LLM training and evaluation, architect the agentic platform backend, and provide technical leadership across teams.

As a Product Manager for Platform Intelligence, you will lead the AI/ML strategy for the Accelerant Risk Exchange, collaborating across teams to enhance decision-making tools for specialty insurance risk management.

As an AI/ML Engineer Intern, contribute to designing and deploying machine learning systems, automate workflows, build data pipelines, and collaborate with experienced teams to solve high-impact problems.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

As a Founding Engineer at Outspeed, you will develop and optimize TTS models, enhance speech quality, and engage with customers for system improvements.