Top Python Jobs in Toronto

Hands-on technical leader building full‑stack customer-facing features across React/TypeScript frontends and Python/Node backends, contributing to AI capabilities (LLM integrations, agentic workflows, MCP), setting technical standards, mentoring engineers, and driving delivery from design through production.

Lead and grow a backend and AI engineering team building AI-powered tax products. Hire, mentor, set technical direction, scope AI features end-to-end, collaborate with PM and Design, remove cross-team blockers, and improve engineering processes while developing domain expertise in tax workflows.

Perform actuarial and operations analytics to optimize claims processes, model and visualize data, produce insights for leadership, collaborate with SMEs, lead workstreams, and support adoption of analytics solutions to improve customer and colleague experience while managing risk and regulatory compliance.

Plan and execute risk-based, process-focused internal audits. Assess design and operating effectiveness of controls, document risks and flowcharts, perform data mining/analytics, prepare audit documentation and draft reports, and support management on remediation and cost-recovery opportunities.

Design, deploy, and maintain large-scale bare-metal GPU clusters for distributed training. Tune Slurm schedulers and Kubernetes integrations, optimize storage and high-speed networking, and build observability pipelines to ensure reliable, high-throughput GPU workloads for distributed deep learning.

Design, optimize, and maintain large-scale distributed multi-GPU training systems. Diagnose numerical precision and stability issues (FP16/BF16/FP8), detect and recover from hardware/software faults, profile performance bottlenecks, and build developer tooling for resilient checkpointing and rapid fault recovery to maximize researcher productivity and hardware utilization.

Lead design and delivery of sales technology for equity derivatives and structured products. Architect an OMS, integrate vendor platforms and Bloomberg workflows, design databases (SQL/MongoDB), ensure regulatory compliance, drive digital distribution, mentor engineers, manage vendor relationships, and own production reliability and performance.

Own end-to-end physical implementation of AI accelerator and RISC-V IP blocks from synthesis through PnR, timing closure, and GDSII signoff. Drive PPA outcomes, collaborate with RTL owners, build floorplans, power grids, pin placement and clocking strategies, and deliver LEF/DEF, timing and power models, GDS, and signoff reports for tapeouts on advanced nodes.

Build and architect the end-to-end go-to-market stack: CRM, outbound sequencing, integrations, lead scoring and routing, attribution instrumentation, dashboards, deliverability infrastructure, and analytics. Partner with sales to remove bottlenecks, implement automations and custom integrations, and evaluate third-party tools versus in-house builds to drive pipeline and revenue.

Full‑stack engineer who designs, implements, and owns features end‑to‑end across frontend, backend, and infrastructure. Build reliable, secure production systems, collaborate with product and support to resolve customer issues, and develop AI‑powered workflows and integrations. Emphasis on shipping quickly while maintaining stability and product judgment.

Design, automate, deploy, and maintain enterprise Power BI infrastructure and BI services. Develop scripts, reports, dashboards, and automation using Python and PowerShell, support cloud-based analytics (Azure, Databricks, ADF, ADLS), manage databases and optimize queries, and troubleshoot production and UAT environments to ensure reliable BI delivery.

Design, build, and operate backend and platform services powering AI agent workflows. Own CI/CD, progressive delivery, IaC-managed cloud infrastructure, observability, and incident response. Collaborate cross-functionally, make architecture decisions, mentor engineers, and participate in on-call rotation to ensure scalable, reliable production systems.

Design and implement full-stack customer-facing features using React, TypeScript, and Python. Contribute to AI-powered capabilities (LLM integrations, agentic workflows, MCP/A2A), ensure code quality, collaborate with product and design, own workstreams end-to-end, and mentor through pairing and reviews.

The Software Engineer will design, develop, and scale services for genomics applications while leading efforts in collaboration, architecture, and technical mentoring.

Plan and execute risk-based, process-focused internal audits; assess design and operating effectiveness of controls; perform data mining/analytics to validate control assertions; document findings, support corrective action tracking, and help prepare audit reports to improve risk and control environments.

Lead technical art for a new casual mobile title: prototype visuals, build art pipelines, author shaders and VFX, establish Unity UI Toolkit standards, create tools (C#/Python), profile and optimize art for mobile performance, and set technical asset standards and validation.

Lead enterprise AI adoption by designing, building, deploying, and governing LLM-powered solutions (agents, copilots, RAG). Partner with IT and business teams for integrations, deliver training, and establish AI governance, monitoring, and risk management.

Design, build, and manage Northland's Azure-based enterprise data platform. Lead data architecture, develop scalable ETL/ELT pipelines, model enterprise data, ensure data quality and governance, deliver self-service data marts and Power BI datasets, and provide technical leadership to support analytics and AI initiatives.

Design, implement, and maintain scalable Python/Django infrastructure and distributed systems on AWS. Own features from conception to deployment, troubleshoot complex issues, optimize database performance, and collaborate with product and engineering teams to deliver production-ready, well-tested solutions for large datasets.

Architect, build, and evolve a scalable Azure-focused cloud Platform-as-a-Product. Own Platform-as-Code, CI/CD pipelines, multi-tenant secure landing zones, and self-serve modules. Provide hands‑on engineering, cross‑team collaboration with security and networking, mentorship, and drive platform innovation and governance automation.

Design, build, optimize, and support enterprise ETL/ELT pipelines and data warehouse solutions. Develop SQL, PL/SQL/T-SQL code, Azure Data Factory pipelines, Python and shell scripts; tune databases (Oracle/SQL Server/MySQL/Elasticsearch); collaborate with stakeholders, QA, and architects across SDLC and public-sector projects.

Use real-time and historical healthcare data to prepare, analyze, visualize, and report on metrics and trends. Build and update Tableau dashboards, write complex SQL queries, extract and clean data, provide insights and recommendations, respond to ad hoc requests, and collaborate with internal and external stakeholders.

Design, develop, test and support finance data solutions using Azure, Databricks, Python and Spark. Lead technical design, implement metadata-driven data pipelines and Bronze/Silver/Gold data lake patterns, support CI/CD DevOps processes, coordinate with finance stakeholders and vendors throughout implementation and delivery.

Develop, document and maintain OPC applications and databases to support supply chain decision-making. Provide application support (including 24/7 paging rotation), create reports and ad-hoc analysis, translate business needs into technical requirements, and collaborate with IT, stakeholders and management to integrate systems and improve processes.

Lead and grow Monex Canada's FX and payments sales function: build and coach a high-performing sales team, own revenue targets, develop go-to-market strategy, win and manage strategic corporate and institutional client relationships, coordinate with compliance and risk for onboarding/KYC, and use data/BI and financial systems to drive forecasting and reporting.