Top Machine Learning Jobs in Ottawa

Join Braze's Engineering team to design and scale their AI platform, focusing on software engineering best practices and clean coding in Python.

Develop and implement advanced AI agents and conversational platforms using Microsoft Copilot Studio, focusing on automation and customer engagement optimization.

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.

The Senior ML Operations Engineer will build and enhance machine learning products, collaborate with teams, and deploy AI solutions to improve healthcare technology.

Drive causal inference capabilities using multi-modal datasets, develop scalable software systems, and research innovative bioinformatics approaches for drug discovery.

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

The Principal MLOPs Engineer will architect and optimize an ML inference platform, collaborate with teams to meet business goals, lead engineering efforts, and mentor team members.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

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

As a Principal Software Engineer, lead the development of DataRobot's machine learning platform, driving innovation in Generative AI and mentoring engineering teams.

Lead the Reddit Conversion Lift product by enhancing ad measurement capabilities, developing ML models, and mentoring engineers while collaborating with cross-functional teams.

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 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.