Top Machine Learning Jobs in Ottawa

The Lead Metallurgist will oversee resource evaluation, audit geometallurgy models, liaise with teams, ensure quality control, and mentor junior staff.

The Principal Software Engineer will lead the development of autonomous systems for satellites, overseeing architecture and capabilities while mentoring engineers. Responsibilities include guiding algorithms for satellite operations and ensuring software integration across mission elements.

Lead data and AI transformation programs, build modern data platforms, and deliver solutions leveraging machine learning and AI for business growth.

The position involves teaching hydrogeology and hydrology, supervising students, developing research, and engaging with industry and government partners.

The role involves teaching a selected topics course in Physical Geography with a focus on predictive modeling and machine learning. Candidates are expected to propose a course theme and description.

As a Machine Learning Engineer II at Affirm, you'll develop AI systems for automating customer operations and collaborate on building models while ensuring high-quality code production.

As a Global Demo Excellence Lead, you'll own a demo ecosystem strategy, manage demo environments, and drive sales and partner readiness to enhance customer engagements across Geotab's diverse sectors.

Partner with multinational clients to gather requirements, define KPIs, develop business cases, and oversee GRAVTY® loyalty program implementations. Provide product expertise, deliver client training, manage project documentation and SLAs, collaborate with product management on features, and create product marketing collaterals to support go-to-market strategies.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

The Applied AI Scientist will develop and experiment with small language models, integrate AI systems, curate training data, and evaluate model performance in a collaborative R&D environment.

As a Senior Machine Learning Engineer, you'll lead ML initiatives to enhance player engagement, build scalable pipelines, and mentor engineering teams, ensuring optimized deployment and performance of ML solutions.

The Enterprise Architect will design data-centric systems, lead technical policy implementation, and collaborate with partners while addressing cybersecurity and system architecture requirements.

This internship involves developing machine learning systems for 3D applications, collaborating closely with engineers and researchers, and contributing to AI and graphics R&D.

Senior Machine Learning Engineer role focusing on building and improving AI evaluation infrastructures, collaborating with a multidisciplinary team, and contributing to the development of a scalable evaluation platform.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

Manage a team of cloud engineers and architects, oversee data delivery, lead technical discussions, and mentor team members while ensuring technical accountability on projects.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

The C5ISRT Architect leads mission-critical system design, ensuring technical policy alignment with business goals, and oversees architecture practices while collaborating with internal and external partners.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

The CTO will lead Fathom's technical strategy, focusing on AI governance, building partnerships, defining standards, and advancing AI safety practices.

Lead the design and implementation of AI-driven fraud prevention strategies, balancing user experience with security to protect user data and prevent unauthorized access.

The Senior Product Manager will drive the AI product roadmap for Revenue Cycle Management, overseeing product lifecycle and collaboration with various teams to enhance billing workflows with AI integration.