Top Machine Learning Jobs in Ottawa

As a Machine Learning Engineer, you will develop machine learning models for creditworthiness, collaborate with engineering teams, and implement data pipelines for production models.

As a Software Engineer in the Bidding Intelligence group, you will design and implement scalable systems, support ML model building, and optimize bidding strategies for mobile app growth.

As a Senior Backend Engineer at Roofr, you'll enhance backend architecture, collaborate with cross-functional teams, and drive software development while ensuring clean code and production support.

Lead the design and deployment of scalable machine learning systems, optimizing performance and collaborating with teams to create production-ready solutions.

The role involves leading the Data Engineering team, defining technical vision, collaborating with cross-functional teams, and managing engineers. Responsibilities include guiding complex technical decisions and fostering a high-performing culture.

Lead GitLab's Custom Models team, manage high-performing engineers, and develop AI solutions tailored to customer needs while promoting innovation and collaboration.

The Machine Learning Architect designs and implements machine learning solutions, leads projects from concept to deployment, and collaborates with customers to ensure alignment with business goals.

Design and build scalable infrastructure for ML training and serving, collaborating with teams to optimize performance and ensure high availability.

As a Staff Firmware Engineer, you will lead the design and development of embedded solutions, drive technology choices, and collaborate with the hardware team to ensure the accuracy of AI algorithms on edge devices. You will mentor engineers and oversee high-impact projects.

As a Machine Learning Engineer, you'll develop ML solutions to mitigate risk and fraud within Cash App, collaborating across teams and utilizing extensive data.

Design and deploy machine learning models for conversational agents, build generative AI systems, and develop tooling to enhance customer support experiences.

The role involves deploying machine learning models in banking, collaborating across teams, and leveraging advanced data techniques to drive product growth.

As an Intermediate Machine Learning Engineer, you will develop evaluation techniques, manage large language models, and collaborate on AI feature implementations, ensuring product quality and performance.

As a Machine Learning Engineer, you will develop AI tools for the AEC industry, focusing on large-scale geometric and text datasets, and optimize models for performance and scalability.

Lead customer engagement by guiding workshops and prototyping solutions. Provide technical leadership, problem-solving, and support while sharing insights to shape product evolution.

As a Senior Machine Learning Modeler, you'll develop machine learning solutions for detecting financial crimes, collaborating with stakeholders and improving team efficiency.

The role involves building ML solutions to evaluate customer cash flow risks, supporting various products, optimizing decision-making using AI/ML, and collaborating across teams.

The Senior Machine Learning Engineer develops ML solutions for customer cash flow risk assessment, collaborates across teams, and enhances automated decision-making processes.

The Senior AI Engineer will develop AI behaviors and maintain systems for AI characters in a AAA video game, collaborating with designers and engineers to innovate AI solutions.

Design real-time data pipelines and custom ML algorithms for a digital advertising platform. Collaborate with Data Scientists and Engineering teams.

Lead and manage the Machine Learning team focused on creating ML models and infrastructure, driving improvements, and fostering a culture of innovation and collaboration.

As a Senior Machine Learning Engineer, you'll lead ML modeling initiatives, develop scalable AI solutions, collaborate with teams, and mentor others while enhancing risk management practices.

Lead and mentor a team of ML Engineers, oversee project life cycles, collaborate cross-functionally, and promote best practices in AI/ML development.

The Cloud Inference Tech Lead will provide technical leadership, product strategy, and design for AI deployment solutions, focusing on cloud inference and customer success.

The role involves designing and deploying machine learning models for customer support, enhancing AI systems, and collaborating across teams. The focus is on innovation in automation and user interaction.