Top Machine Learning Jobs in Calgary

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.

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.

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.

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.

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 design and development of an AI/ML platform, focusing on system design, automation, and scalable services while fostering collaboration across teams.