Top Machine Learning Jobs in Ottawa

Lead a team of engineers to develop Dropbox’s AI product, Dash. Focus on operational excellence, data-driven decisions, and team growth.

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.

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.

Develop and deploy ML models to combat financial crimes. Collaborate with cross-functional teams, maintain documentation, and lead ML best practices.

The Senior Machine Learning Engineer will develop scalable ML systems, collaborate across teams to improve solutions, and manage critical ML infrastructure projects.

The Data Platform Product Owner will manage product lifecycle for data-driven features, oversee data model development, collaborate on ML pipelines, and align products with business objectives.

The Customer Support Engineer assists customers in adopting the Anyscale platform, troubleshooting issues, and collaborating with engineering teams to enhance product experience.

As Director of Sales, you will drive revenue growth through new and existing customer acquisition, manage the sales cycle, and develop strategies for market expansion in the pharmaceutical sector.

The Senior/Staff AI Researcher will lead research in Generative AI, focusing on model improvement, algorithm development, and product integration while managing cross-functional collaborations and monitoring industry trends.

The Lead Data Scientist will oversee complex data science projects, develop and mentor a team, and enhance ML solutions, focusing on cybersecurity applications.

As a Staff Technical Product Manager, you'll lead Enterprise AI initiatives, define product roadmaps, collaborate with cross-functional teams, and ensure successful execution of AI solutions.

As Chief Product & Technology Officer, you will lead technology and product strategy, oversee product lifecycle, and scale teams at FutureFit AI to support workforce development.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.

The Machine Learning Modeler will design and scale intelligent systems, build forecasting models, and collaborate with analytics teams to make data-driven decisions at Block.

Lead the development of advanced machine learning models and AI solutions for customer support, focusing on chatbot and voice automation technologies.

The Staff Full Stack Engineer will lead the architecture and implementation of scalable AI learner engagement systems, mentor other engineers, and contribute to technical direction and best practices.

Lead NerdWallet's customer support transformation through AI, overseeing operations, strategy, and team development to improve customer satisfaction and operational efficiency.

As a Senior Machine Learning Engineer, you will design and implement machine learning algorithms, build models, evaluate performance, and guide junior engineers to enhance AI functionalities across Atlassian products.

Develop machine learning models to prevent risky or abusive activities in financial transactions, ensuring a secure user experience for families using Cash App.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

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

Lead the development of advanced AI and machine learning models, mentor junior data scientists, and set strategy and direction for the Data Science team.

The Machine Learning Engineer will scale core infrastructure, manage data pipelines and model evaluation, and improve benchmarking systems. Collaborate with teams to enhance AI evaluation methodologies.

As a Senior Product Manager, you will own product outcomes, develop roadmaps, translate market insights into action, and navigate technical complexities in a startup environment.