Top Machine Learning Jobs in Toronto

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

The role involves collaborating with teams to design and deploy ML models, develop scalable AI applications, and optimize performance using GCP and Vertex AI.

The Machine Learning Engineer will create scalable ML systems, build production data pipelines, and ensure robust deployment and monitoring of solutions.

The Senior ML Developer Consultant will implement and maintain ML pipelines, deploy and optimize models, build APIs, and enforce MLOps best practices.

As a Forward Deployed AI Engineer, you'll lead customer engagement, provide technical support, create documentation, and work on product feedback while leveraging AI expertise.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Lead the development of AI-driven automation for security operations, focusing on integration, scalability, and accuracy of systems to enhance security efficacy.

The role involves developing a scalable ML platform, collaborating with teams on tooling solutions, managing production infrastructure, and implementing reliable ML capabilities.

The Senior Machine Learning Engineer will implement and optimize AI models, build scalable ML pipelines, integrate AI into SaaS systems, and ensure high reliability and performance in production environments.

The Senior ML Performance Engineer will architect a Performance Testing Platform, optimize ML performance on GPUs, and validate model efficiency.

As a Software Engineer in Applied ML, you'll design solutions for enterprise AI, focusing on product lifecycle and large language models.

The role involves developing AI-powered solutions for e-commerce, optimizing data pipelines, and deploying ML systems at scale while using technologies like React, TypeScript, and AWS.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with sales, create materials, and conduct market research to drive growth in the gaming and 3D industries.

As a Solutions Engineer, you'll lead client technical engagements, scope solutions with the Sales team, demonstrate value of AI, and ensure customer satisfaction.

The Field Application Engineer provides technical support for electronic and automation products, collaborates with sales teams, delivers training, and ensures customer satisfaction.

The Machine Learning Manager will set the vision and strategy for the Auto-Bidding team, develop and optimize recommendation systems, mentor the team, collaborate cross-functionally, and drive continuous improvement in performance and model quality.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

As a Senior Business Analyst, utilize machine learning and analytics to drive strategic decisions, optimize performance, and develop predictive models for business insights.

As a Machine Learning Intern, you will assist in developing, training, and deploying machine learning models, collaborating with data scientists.

Seeking a Senior AI/ML Engineer to design and develop AI-native systems using Generative AI and multi-agent frameworks for real-time networking solutions. Responsibilities include modeling agent behaviors, developing LLM-driven agents, building ML models, and collaborating on AI projects.

As a Machine Learning Engineer, you will design and deploy AI Agent solutions, focusing on practical challenges and collaborating with cross-functional teams to scale and innovate AI systems.

Lead the Connected Data team at MaintainX, driving the roadmap for machine data connectivity from various sources, collaborating with AI/ML and engineering teams, and ensuring effective product solutions and user value realization.