Top Machine Learning Jobs in Ottawa

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.

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

The Senior Machine Learning Engineer will develop end-to-end ML solutions for risk management, collaborating with various teams to enhance effectiveness and efficiency.

Lead design and implementation of AI product initiatives on Edge devices, optimizing ML models, and collaborating across business units to enhance performance and customer experience.

As a Senior Machine Learning Platform Engineer, you'll enhance ML infrastructure, mentor juniors, and optimize data pipelines for high performance.

As a Principal Machine Learning Engineer, you will develop and implement cutting-edge ML algorithms, train models, and collaborate with various teams to enhance AI functionalities across Atlassian products.

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

The Director of Engineering (Data) leads the technical foundation for data platforms and AI, defining strategy and driving collaboration to deliver impactful data products.

The Senior Machine Learning Engineer will enhance AI systems for patient and physician features, evaluate ML models, and mentor junior engineers.

The ML Engineer will enhance AI systems for healthcare applications, collaborating with multidisciplinary teams and developing machine learning models and evaluations.

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 will develop and optimize large-scale ML systems, collaborating with scientists and managing workflows in cloud environments.

Manage a distributed team of data scientists and engineers, and lead initiatives in data science and ad tech to optimize business strategies.

As a MLOps Architect, you will design and optimize ML inference platforms, drive engineering solutions, and mentor teams to enhance performance.

The Senior AI Engineer will design and execute ML solutions on GCP, lead projects, and communicate technical concepts to clients. Strong expertise in AI/ML is essential.

NuBinary seeks a Fractional CTO specializing in AI. Responsibilities include leading AI projects, team management, and overseeing product development. Ideal candidates have extensive experience in AI-focused startups. The role includes potential future full-time employment options.

As a Machine Learning Researcher, you'll innovate telehealth care, collaborate on healthcare ML applications, publish research, and mentor interns.

Lead the Machine Learning team to develop cutting-edge algorithms, drive innovation, manage project timelines, and collaborate with cross-functional teams.

As a Machine Learning Engineer at Delphina, you'll automate ML workflows, conduct research, and transform customer needs into product solutions, leveraging your software engineering and ML expertise.

The role involves developing end-to-end software agents with collaborative AI capabilities to assist engineering teams in solving complex problems.

Lead the development of AI and machine learning models for Firefox, enhance user experiences, mentor engineers, and ensure innovative methodologies.