Top Python Jobs in Toronto

Design and build interactive dashboards, analyze large datasets to produce insights for senior management, recommend process/technology improvements, and lead data and reporting projects aligned to business strategy.

Lead cross-functional analytics initiatives, build data pipelines and models, collaborate with data engineering and data science to deploy ML and dashboards, enforce data governance, and deliver actionable insights to commercial stakeholders.

Lead liquidity measurement and analytics, deliver regulatory and management liquidity reporting (LCR, NCCF, NSFR), build scalable ETL workflows and controls, ensure data quality, prepare regulatory submissions, manage and develop a team, and provide actionable liquidity insights to stakeholders.

Design, develop, and deploy Generative AI solutions and chat interfaces. Lead feasibility, design, testing, and implementation of applications, advise stakeholders, provide user support, and ensure security, compliance, and operational standards. Mentor junior analysts and operate with autonomy on complex ML/AI engineering tasks.

Develop and execute test plans, automated UI and functional tests, and CI flows. Create quality metrics, coordinate test strategies with product and engineering teams, ensure reliability and performance across web/API and microservices, and support mobile testing and defect triage to move projects to production.

The Data Operations Manager will oversee the HCP Access data product lifecycle, ensuring data quality and customer deliverables through monitoring, validation, and process optimization in collaboration with technical teams.

Develop and execute test plans and automated testing, mentor junior QA engineers, and ensure software meets quality standards and customer requirements.

The role involves developing scalable AI-driven products and collaborating on full-stack solutions to accelerate scientific discovery.

The Software Developer will design, develop, and maintain web applications with Python and React, focusing on both front-end and back-end integration, collaborating with cross-functional teams, and employing Agile methodologies.

The role involves developing analytics solutions, optimizing data models, mentoring teams, and guiding projects to enhance data insights and productivity.

The Software Developer in Test will design and maintain test frameworks, develop automated tests, integrate them into CI/CD pipelines, mentor junior engineers, and ensure software quality.

As a Senior Data Engineer at Nimble, you will manage the end-to-end data platform, build pipelines, enhance data modeling, collaborate with teams, ensure data security, and mentor others.

This role involves designing and developing scalable data solutions, automating tasks, and collaborating with teams to deliver business value. Responsibilities include strong database development using SQL and Python, as well as leading innovative projects and ensuring compliance.

As a Frontend Software Engineer, you will drive impactful initiatives, collaborate with teams, deliver features, and contribute to product vision with a focus on scale and performance.

As a Senior Software Engineer, you will drive high-impact initiatives in data engineering, mentor junior team members, and build scalable, customer-facing applications. You will collaborate with cross-functional teams to enhance product features and contribute to the team's vision.

Lead the development of backend services and APIs for AI-driven products, collaborate with cross-functional teams, and oversee complex projects. Focus on building scalable systems while contributing to the frontend when necessary.

The Lead AI Forward Engineer designs AI solutions, guiding implementations for scalability and compliance, while mentoring teams and shaping technology strategy.

The Lead Software Engineer designs, develops, and maintains high-quality software solutions for enterprise financial systems, leading technical direction and mentoring teams through integrations and modernizations.

The Senior Product Security Engineer collaborates with product and engineering teams to embed security into the product lifecycle, conducts threat modeling, reviews code, and identifies vulnerabilities.

Design and deliver analytical measurement frameworks, causal inference and experimental designs, and predictive/statistical models for retail, loyalty, and marketing analytics. Build and validate tests, analyze large datasets, collaborate cross-functionally, and communicate insights to improve customer engagement and program performance.

Design, build, and maintain onboarding and compliance microservices within a pod. Deliver features, fix defects, perform root-cause analysis, collaborate across pods, conduct code reviews, document work, and ensure operational readiness.

Lead and build a hands-on data science and analytics function for a live-service gaming company. Own analysis (SQL, Python/R), dashboards, KPIs, experimentation, data quality, pipelines, and executive reporting. Partner across product, ops, marketing, finance and engineering. Implement AI-driven analytics, automation, and copilots, then hire and scale a high-performing team while establishing governance and responsible AI practices.

Hands-on Engineering Lead responsible for system architecture, backend and API design, data persistence, DevOps collaboration, performance optimization, and mentoring a 4-5 engineer team to deliver scalable, secure web applications.

Design, develop, and maintain scalable full‑stack applications using React/NextJS (TypeScript) with Python or Node.js backends. Build reusable UI components, implement REST/GraphQL APIs, ensure code quality and performance, troubleshoot production issues, participate in agile ceremonies, contribute to architecture, and mentor junior engineers.

Lead and develop enterprise-level applications with a focus on technical leadership, client-facing problem-solving, and agile collaboration. Engage in continuous learning and mentor junior developers.