Top Python Jobs in Toronto

Lead scalable data engineering initiatives, ensuring analytics and BI infrastructure support strategic growth through efficient data processing and collaboration.

Provide database administration for Db2 and IMS, manage utilities, optimize SQL, ensure database performance, and assist with capacity planning.

The Implementation Analyst will manage client relationships, implement product features, optimize sales processes, and leverage analytics to improve performance.

The role involves operating and scaling Kong's SaaS platform, building automated infrastructure, optimizing multi-region data layers, enhancing observability, and ensuring reliability across services.

The role involves designing and verifying advanced node CMOS mixed-signal circuits, including PLLs, ADCs, and other analog components, while collaborating with global teams.

Design and verify advanced node CMOS products, including high-speed mixed-signal circuits. Collaborate across teams, manage lab chip debugging, and ensure timely delivery under pressure.

The Product Analytics Manager will lead analytical initiatives to enhance product capabilities and user experience through data-driven insights, experiment design, and collaboration with various teams to support product decisions.

The Senior Business Analyst will work within the Risk Technology team managing projects involving risk measurement, compliance, and reporting solutions in investment management. Responsibilities include collaborating with senior partners, guiding product delivery, and improving risk solutions across various asset classes.

Design and develop embedded firmware and SDKs for connectivity SoCs, collaborating with teams and ensuring firmware quality through testing and debugging.

As a Senior Performance Modelling Engineer, you will create simulation models for OTPU, collaborate on architecture design, analyze workloads, and enhance performance through tooling and automation.

The Machine Learning Engineer will create scalable ML systems, build production data pipelines, and ensure robust deployment and monitoring of solutions.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.

As a Software Engineer, you will build and operate Kubernetes GPU superclusters, optimize infrastructure for AI workloads, and improve system stability and performance.

Cohere is looking for a Research Intern to conduct machine learning research, focusing on large language models and associated areas, while disseminating findings through publications and practical applications in product development.

Lead design and implementation of scalable Hadoop/Spark big data platforms and pipelines, optimize cluster performance, enforce data security/governance, mentor engineers, and integrate cloud-native services for analytics and near-real-time ingestion.

The role involves leading application systems analysis and programming in Python, collaborating with teams to deliver technology solutions in the financial sector.

Lead applications systems analysis and programming activities for the Wholesale Credit Risk Technology team, collaborating with teams to deliver tech solutions.

Develop solutions for risk management systems, write clean code, and assist in enhancing systems while supporting production issues for the Credit Risk Technology team.

Lead electrical design from concept through mass production, ensuring manufacturability, reliability, compliance, and cost targets. Drive schematic and PCB design, RF and analog development, production test strategy, supplier/component selection, DfX processes, and cross-functional project leadership across EVT/DVT/PVT/MP phases.

As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.

The Senior Software Engineer, AI will develop and maintain AI/ML features, implement models, and collaborate on innovative solutions within a cross-functional team.

Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.

The Senior Machine Learning Engineer will develop and implement machine learning solutions, ensuring scalability, security, and adherence to best practices while collaborating with cross-functional teams.

The Senior Engineer is responsible for building AI observability capabilities, ensuring AI systems are reliable and continuously improving, while working with cloud and data engineering teams.

As a Senior Data Engineer, you will design scalable data pipelines and mentor junior engineers, ensuring high-quality code and collaborating across teams to optimize analytics solutions.