Top Python Jobs in Toronto

The Principal Platform Engineer will design and build scalable ML platforms, develop cloud-native infrastructure, and manage the model lifecycle in enterprise environments, focusing on MLOps capabilities and mentoring engineers.

The Senior Platform Engineer will build AI systems, develop APIs, support scalability, and integrate AI capabilities for financial services clients.

RAVL is seeking Senior ML Platform Engineers to build and scale machine learning platforms, develop ML pipelines, and support MLOps workflows in cloud environments.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

The Senior Data Engineer designs, builds, and maintains data pipelines and ensures data quality controls while supporting data analytics and reporting needs.

The Procurement Manager develops centralized procurement strategies for vendor management, ensuring alignment with business objectives and overseeing project management audits. They manage vendor relationships and collaborate across teams to improve procurement processes.

The Full Stack Engineer will design, build, and maintain scalable web applications, impact customer onboarding and integrations, write and review code, and support technical improvements.

The Back-end Engineer will develop and maintain services and APIs, design data models, and contribute to system stability, collaborating with other engineers and product managers.

The Co-op Engineer will analyze source code, implement new features on demo apps for Android or HarmonyOS, and deploy AI models on Huawei devices, collaborating across teams.

The Senior IT Systems Specialist manages IT and OT systems, ensuring security and performance. Responsibilities include Azure administration, cybersecurity, automation, and end-user support.

The AI Specialist will integrate AI technologies into R&D processes, develop automation tools, collaborate with researchers, and maintain high-quality production code.

As an AI Specialist, you will drive AI initiatives using machine learning techniques, analyze R&D data, develop algorithms, and collaborate with teams to enhance research tools for quantum computing.

The Hydroinformatics Engineer develops algorithms for optimizing water systems, leverages data analytics, and communicates solutions to enhance urban watershed management.

The role focuses on architecting and owning the marketing technology stack by writing scripts and building integrations, attribution models, and testing frameworks to support growth and consumer engagement.

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.

As a Senior DevOps Engineer, you'll design, implement, and operate AWS network architectures, manage multi-account connectivity, and ensure network security and automation using IaC tools.

Design, build, and maintain scalable batch and streaming data pipelines and domain-oriented data models using dbt and cloud warehouses. Ensure data quality, documentation, and usability for analytics, ML, and reporting while collaborating with Product, Analytics, and ML teams.

Lead development and maintenance of finance BI dashboards and analytical tools to deliver actionable insights. Partner with Finance and Data teams to prioritize DA&I projects, automate management reporting, support OneFinance consolidation, maintain enterprise data dictionary (Collibra), and drive process improvements and analytical capability development for decision makers.

Design, build, and maintain robust terabyte-scale data pipelines and stream-processing applications. Collaborate with product teams, participate in full SDLC, automate tests and deployments, monitor operations, and contribute to technical strategy and continuous improvement. Participate in on-call rotation.

As a Data Scientist, develop machine learning models to support trading strategies, collaborate with teams, analyze data, and improve trading performance.

The Vice President, Data Scientist will develop and implement machine learning models to enhance algorithmic trading strategies and provide data-driven insights for Investment Banking and Corporate Banking.

Build and deploy data science models and pipelines to generate insights for Sales, Marketing, Finance, and HR. Perform data preprocessing, feature engineering, model selection and evaluation, create dashboards and reports, use cloud data platforms, and communicate findings to technical and non-technical stakeholders.

Design, build, and operate large-scale real-time and batch data pipelines. Improve data quality, reliability, observability, and performance. Partner with product and analytics teams, lead architecture decisions, and support production incidents and optimization.

Own and scale the Nx-based monorepo, build system, and CI/CD to make builds, tests, and developer workflows fast, reliable, and observable. Build developer tooling, local dev stacks, and production-grade developer infra with SLOs, on-call, and measurable DX improvements.

Design, build, and deploy AI-powered planning solutions on Pigment. Translate business problems into scalable models and custom AI agents, integrate data via APIs and pipelines, prototype agentic workflows, train users, drive adoption, and relay customer feedback to Product and Engineering to scale repeatable deployment patterns.