Top Python Jobs in Toronto

Embed with client operators, learn and rebuild critical business processes, and deliver production GenAI/LLM systems on AWS. Own design, shipping, evaluation, and operational handoff while working cross-functionally with senior stakeholders to move business metrics.

Design, implement and support scalable, secure SaaS application integrations for Brookfield Wealth and Credit. Provide L3 after-hours support, optimize pipelines, perform RCA and vulnerability remediation, partner with stakeholders, and deliver integration projects to meet SLA and architecture standards.

Own and maintain Kotlin-based backend services for Faire's Insider membership program. Collaborate with Data Science, Product, and Design to prototype and productionize ML-driven features, run experiments and analytics to measure performance, optimize service design and performance, reinforce membership benefits across customer surfaces, and mentor engineers on architecture and best practices.

Develop, fine-tune, and deploy generative AI and machine learning models (including prompt engineering and RAG). Clean and analyze large datasets, run experiments, collaborate with cross-functional teams, and deploy models on Azure/Databricks while communicating results to technical and non-technical stakeholders.

Provide partner- and sales-facing technical consulting for Google Cloud sales opportunities: define technical requirements, design architectures, prototype solutions, enable partners, support technical evaluations (S2-S3), and ensure sales hygiene in Salesforce while completing required certifications.

Lead an engineering team to design, build, and ship CoCounsel's UI and backend systems. Own architecture, roadmap, and execution; mentor engineers; recruit talent; collaborate with product and design; and apply GenAI techniques to deliver measurable product impact.

Four-month student placement supporting Financial Crimes Quality Assurance by designing and implementing analytics projects, executing ETL and large-data analysis with Python, building dashboards in Power BI, summarizing results for stakeholders, and promoting data-driven insights within an agile team.

Student co-op supporting credit risk model validation and monitoring (AIRB/IFRS9). Tasks include data reconciliation, issue analysis, documentation, regulatory compliance support, and working with credit risk professionals.

Create and refine photorealistic looks for 3D assets by producing textures, shaders, and validation renders. Collaborate with texturing, lighting, compositing, supervision and production to deliver optimized, lighting-ready assets, resolve technical issues, improve pipelines, and share expertise to maintain high artistic and technical standards.

Lead end-to-end application and platform support for the Rahona Data Cloud, owning roadmap, service management, incident/escalation handling, compliance, budgets, stakeholder relationships, and continuous improvement while acting as business SME on projects and data governance.

Lead DevOps and SRE initiatives for cloud-native data platforms: deploy and manage Kubernetes workloads (EKS/GKE), provision infrastructure with Terraform, maintain CI/CD (Jenkins, ArgoCD, GitHub Actions), automate with Python, monitor observability tools, optimize cloud costs, enforce security and SRE best practices, and collaborate with data teams to improve reliability and workflows.

Design, develop and maintain ETL workflows, SQL stored procedures, databases and integrations. Monitor and QA systems, create alerts, automate tests (JavaScript APIs), produce reports/dashboards, document processes, and provide user support while applying DevOps practices to improve system reliability and performance.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

Lead full-stack engineering for card acquisition and onboarding across mobile, web, and backend. Define technical strategy, deliver quarterly goals, mentor engineers, ensure operational reliability (monitoring, on-call, CI/CD), collaborate with product/design/analytics, and drive quality, experimentation, and scalable backend systems.

Design and deploy vision and robotics systems for automated wire-harness production. Build perception pipelines (classical CV and/or ML), perform camera/hand-eye calibration, develop and tune robot motion for pick/place, routing, insertion, and termination, and deploy and harden systems on the production floor. Collaborate with mechanical, controls, and production teams to improve cycle time, yield, and reliability.

Create complex visual simulations (fire, smoke, fluids, destruction, magical effects) using Houdini. Ensure artistic fidelity and technical robustness, optimize caches and pipelines, collaborate with leads and other departments, provide estimates, integrate feedback, and share knowledge with the FX team.

Build and deploy backend platforms and sophisticated risk algorithms using Python and GenAI. Implement prompt engineering and RAG, deliver production-ready, unit-tested software on Kubernetes, collaborate cross-functionally, drive engineering best practices, and ensure compliance and risk-aware decision making.

Senior Customer Analytics Manager leads strategic analytics across the customer lifecycle—acquisition, onboarding, engagement, retention, monetization, and expansion. Partners with cross-functional teams to translate business questions into rigorous analyses, experimentation, forecasting, and predictive models; defines KPIs; builds dashboards and decision tools; mentors analysts; and drives scalable, AI-enabled analytics that inform executive decisions and improve customer value.

Manage BIM documentation and workflows across multiple projects; develop and enforce BIM standards and BEPs; provide Revit training and technical support; use Autodesk Construction Cloud for project setup and coordination; ensure model accuracy and collaborate with project teams to meet deliverables.

Lead a data science team within Corporate Treasury to build liquidity and funding risk models, dashboards, and analytics. Hands-on work with large datasets, ML/deep learning models, PySpark/Python and big-data platforms, delivering reports and recommendations to business stakeholders while coaching and developing team members.

Support fundamental equity research across financial institutions by building and maintaining financial models, analyzing earnings and management commentary, producing research and investment recommendations, monitoring company developments, meeting with management, and identifying investment opportunities. Drive research efficiency by identifying process improvements and implementing data tools, automation, and AI-enabled workflows in partnership with technology and data teams.

Lead portfolio analytics and reporting for CIBC US: assess portfolio risk and performance, develop KPIs, build dashboards and reports, clean and query data, and provide data-driven recommendations for credit exposure, capital, and regulatory reporting.

Embed inside a functional team to identify, prioritize, and operationalize AI and data science use cases. Build ROI-driven business cases, translate between stakeholders and technical teams, drive adoption, track KPIs, and share learnings across the AI & Data Science group.

Design, develop, and maintain Python-based automation and full-stack solutions to improve operational efficiency, automate security and infrastructure workflows, integrate with REST APIs, support CI/CD, and enhance SRE and security controls while collaborating with stakeholders.

Design and deliver analytics, machine learning, and generative AI solutions using large, complex datasets. Lead moderate-scope end-to-end data science projects, evaluate AI assistants and agentic workflows, integrate cross-system data, perform statistical modeling and experimentation, and communicate actionable insights to business partners. Support model governance, documentation, and collaboration with product, engineering, and subject-matter experts to drive adoption and business value.