Top Python Jobs in Toronto

The Data Engineer will design, develop, and maintain data pipelines in the banking domain, ensuring data quality and compliance while collaborating with stakeholders.

The Data Engineer will design and maintain data models and ETL pipelines, support data strategy initiatives, and ensure data quality within an Azure environment.

The AI Engineer will design, develop, and deploy ML models, collaborate with teams to integrate AI into applications, and optimize model performance.

The Staff Software Engineer will lead technical efforts in fundraising and reporting, ensuring best practices, mentoring engineers, and improving systems while collaborating across teams.

As a QA Automation Engineer, you'll collaborate to define testing efforts, develop automation frameworks, troubleshoot bugs, and advocate for automation in product quality.

Design and build conversational AI agents for customer service, ownership of agent systems from architecture to production, and implement safety and evaluation frameworks.

The Data Scientist will develop data-driven models, analyze complex datasets, design machine learning models, and communicate insights from data analysis.

The Intermediate Full-Stack Developer will design, develop, and maintain frontend and backend components, optimize APIs using Go and create user-friendly interfaces with React and TypeScript.

As a Scientist in In Vitro Pharmacology, you will develop and execute assays, analyze data, and collaborate on drug discovery projects, emphasizing rejuvenation biology.

Engineer software that connects AI-driven platforms to datacenter power infrastructure. Develop control strategies and optimize energy use and AI workloads.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

The DevOps Engineer will lead infrastructure initiatives including GitLab to GitHub migration, maintain high availability of systems, automate processes using Infrastructure as Code, and develop strong client relationships.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The Senior Infrastructure/DevOps Engineer will design, implement, and manage cloud infrastructures using tools like Docker and Terraform, ensuring security and automation.

Join VAST Data as a Senior Software Engineer to design and implement backend components for a scalable, AI-native vector database, focusing on low-level systems programming and distributed computing.

The role involves building AI software agents, shaping technical direction, translating customer needs into product developments, and resolving complex technical issues in federal accounts.

The Motion Planning & Controls Engineer will develop software for robot motion, implementing algorithms for optimized control and ensuring performance and safety.

As a Cloud Ops Developer, you will develop and manage cloud infrastructure, automate deployments, and maintain CI/CD pipelines while collaborating with teams.

Lead development and evaluation of machine learning and image analysis algorithms, focusing on deep learning with 3D medical images. Collaborate cross-functionally to deploy models and publish research.

Join Heartflow's Research team to develop machine learning technologies for medical imaging. Solve challenges in deep learning and computer vision, and collaborate across departments.

As a Deployment Strategist, you will collaborate with customers to integrate ElevenLabs' AI technology into their operations, understand their needs, and oversee complex projects that drive impactful solutions.