Top Machine Learning Jobs in Ottawa

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.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Senior Data Scientist will optimize customer onboarding using machine learning and generative AI, design models, and collaborate with engineering.

The role involves designing and implementing AI/ML models to combat financial threats, driving initiatives, and mentoring engineers at Coinbase.

The Technical Manager, PX Platform will oversee the development and operation of systems for Player Experience, manage tools integration, and enhance service improvements through automation and data management.

As a Platform Architect, you will design and implement a scalable AI technology platform and collaborate across teams to meet user requirements and business objectives.

As the founding ML Engineering Manager, you'll develop and execute ML strategies, lead engineers, prototype LLM-powered features, and enhance engineering practices within a diverse team.

The Director of Data & Analytics will define and execute the data strategy, lead a team, and collaborate across departments to ensure data is a strategic advantage for the company.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

Wealthsimple is seeking experienced Canadian leaders abroad in Engineering, Product & Design, Data & Machine Learning, Finance & Strategy, and Leadership roles to help build impactful financial tools in Canada.

The R&D Intern will work on NLP projects, develop algorithms, write academic papers, and collaborate with researchers on novel solutions.

The AI-Native Product Manager will drive the development of AI-driven features and automated workflows in retail e-commerce, prototype solutions, and influence product strategy, leveraging AI and automation to enhance customer experience.

Lead the development and scaling of small language models for healthcare, managing data strategies, model training, and team operations, while ensuring ethical and clinical integrity.

Lead the Agentic AI Pod to develop AI solutions for event marketers, creating strategies and innovative interaction paradigms while ensuring standard practices in AI implementation.

The IT Audit Manager oversees and conducts audits of information systems and IT operations to ensure compliance with standards, manages audit processes, and contributes to risk management and strategic initiatives.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

The Applied Scientist will drive technical decisions, automate ML workflows, collaborate with customers, and develop production-ready solutions based on research and product needs.

As a Machine Learning Engineer, you will research automating ML workflows, collaborate on product development, and support customer needs with technical solutions.

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.

Lead the design and implementation of AI-driven forecasting and financial modeling systems, collaborating across teams to enhance decision-making and operational reliability.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.