Top Machine Learning Jobs in Toronto

The Senior AI Engineer will develop AI-driven browser automation tools for navigating websites and extracting data, focusing on machine learning techniques and collaboration with data scientists for model optimization.

Develop and refine advanced document AI models, tackle complex modeling challenges, lead LLM fine-tuning, and foster collaboration among teams to deliver impactful solutions.

The Staff Machine Learning Engineer will design ML systems, mentor engineers, work on AI product development, and improve legal data processing.

The Senior Machine Learning Engineer will design and implement ML systems, optimize data pipelines, and collaborate on ML workflows for personal injury legal solutions.

Lead the development of high-performance ML platforms, guide the software lifecycle, and collaborate with teams to drive innovation in Generative AI and networking solutions.

The role involves innovating Generative AI solutions, leading software development lifecycle, and collaborating with teams for model development and deployment in large-scale systems.

As a Principal MLOps Developer, you'll build scalable ML training pipelines, optimize training systems, and collaborate with AI researchers to innovate within the AEC industry.

The AI Product Manager will oversee the development of AI-driven workflows for construction scheduling, focusing on risk prediction and intelligent automation systems. Responsibilities include product strategy, collaborating with teams, and defining success metrics for new features.

The Lead Product Manager will oversee Video Telematics product development, manage cross-functional teams, and drive strategic product roadmaps.

Lead the AI quality strategy for content migration, ensuring quality and timely delivery of projects while mentoring and guiding less experienced colleagues.

The Lead Applied Scientist innovates and drives AI solutions by leading cross-functional teams, mentoring others, and applying machine learning and NLP expertise to enhance products.

The Senior Applied Scientist will design and deliver AI solutions, manage model development, communicate research, and collaborate across teams to translate user needs into technical requirements.

The Associate ML Engineer will support analytics solutions within teams, manage data science tasks, develop ML functionalities, and collaborate with senior members on coding and data management.

As a Customer Success Manager, you will drive customer satisfaction and retention by providing technical guidance, managing renewals, and championing customer needs while fostering collaboration across teams.

The Senior Product Manager will lead the development of WFM product suite, defining strategy, executing product lifecycle, and leveraging AI for enhancements.

The Senior Machine Learning Scientist uses advanced analytics to derive insights from data, develops predictive models, and collaborates with stakeholders to enhance analytics solutions.

As the Head of Digital Critical Asset Management, lead the vision and delivery of digital solutions for Strategic Capacity Management, optimizing space and power usage through automation and data analytics.

Develop and implement technology solutions to transform the healthcare industry by building new systems and shipping full-stack projects in collaboration with the CEO's technical staff.

Lead the design and development of enterprise MLOps capabilities to drive AI efficiency and compliance across the organization while collaborating with stakeholders and mentoring teams.

The ML Solutions Architect is responsible for leading client technical discussions, designing scalable ML solutions, and ensuring project success by bridging clients and delivery teams.

Lead technical initiatives in ML product development focusing on LLM and NLP systems. Mentor engineers, design models, and oversee data strategies while ensuring operational excellence and model performance.

The role involves researching and implementing physics-informed AI/ML algorithms, designing workflows, mentoring, and collaborating with researchers to advance simulation and design tools for Autodesk.

Lead the Machine Learning engineering and infrastructure team, overseeing system design, scaling ML capabilities, and driving innovation in personalized user experiences.

Develop machine learning models for ads ranking and optimize search and recommendation systems. Collaborate with teams to enhance ads performance and strategy.

As the Founding Product Manager, you'll drive product strategy and execution, collaborating with cross-functional teams to deliver innovative AI-native design experiences.