Top Machine Learning Jobs in Ottawa

Develop and enhance machine learning systems for fraud detection, build pipelines, prototype models, ensure model health, and collaborate with cross-functional teams.

As a Software Engineer II, you'll build the ML Feature Platform, collaborate on developing backend systems, and ensure operational availability while engaging in team growth.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

Seeking a Research Scientist to develop AI models for enhancing 3D reconstruction processes, requiring strong skills in computer vision and neural reconstructions.

As a Senior Machine Learning Engineer, you'll design and develop AI systems, focusing on LLMs and improving agent performance while mentoring engineers.

As Senior Product Manager, you'll lead AI innovation in financial advisory tools, collaborating with teams to enhance user experiences and product impact.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

Lead the product vision for innovative AI technologies, translating research into marketable products, and collaborating with cross-functional teams.

The Technical Solutions Manager bridges Sales and Software Engineering, leading technical discovery, designing solutions, and engaging customers to drive revenue growth.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

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.

The Solutions Engineer will engage with stakeholders to design AI-powered engineering solutions, bridging business needs and technical execution while guiding customers through AI integration.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

Design, develop, and deploy machine learning pipelines. Implement MLOps practices and optimize models. Collaborate on data pipelines and cloud deployment.

The AI/ML Engineer will design, develop, and optimize machine learning models for mobile applications, collaborating with teams to enhance user experiences and innovate in AI-driven solutions.

The AI/ML Engineer will develop and optimize machine learning models, work with cross-functional teams, and enhance mobile app features.

The role involves solving customer problems by building ML solutions, engaging with various stakeholders, and taking ownership of the outcome through deployment.

As an AI/ML Engineer, you'll develop and optimize machine learning models for mobile applications, collaborate with teams, and integrate AI-driven features to enhance user experience.

You will build a search and assistant product, improve personalization, train models, and write robust code while mentoring junior engineers.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

As Staff Product Manager for the AI Platform, you'll define the vision and roadmap, establish execution methods, and collaborate across teams to ensure safe and efficient AI operations in a scalable enterprise platform.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.