Top Python Jobs in Toronto

Lead rapid concept-to-production work using AI design tools and modern full-stack frameworks. Build accessible, performant frontends and robust backends, implement APIs, auth, caching, and databases, and collaborate with designers and AI builders to maintain design systems and deliver production-ready applications.

Own reliability, automation, and continuous delivery for the Insight Pension Platform. Build and maintain Azure DevOps CI/CD pipelines, manage 10+ environments, ensure platform security and compliance, respond to incidents, automate manual processes, coordinate releases with teams and vendors, and maintain operational runbooks and documentation while participating in Agile practices.

Lead governance, maintenance, and enhancement of Anaplan and finance data processes. Ensure month/quarter close data integrity, support budgeting/forecast cycles, deliver reporting and ad hoc financial analysis, drive process improvement and automation, and manage a team of reporting/data resources while partnering across Finance, Technology, Data, and Risk stakeholders.

Design, build and optimize BI assets (QuickSight dashboards, semantic data models) on SQL datasets. Develop and maintain data pipelines, perform SQL tuning, ensure data quality and governance, and support the web presentation layer. Collaborate with business partners to deliver accurate, performant, secure reporting and analytics.

Build and own end-to-end ML features for an agent management platform in healthcare: design data models, build pipelines and backend services, integrate frontend when needed, ground and evaluate agent behavior using clinical data (FHIR/HL7), prototype with hospital partners, and create novel solutions for agent observability, evaluation, and continuous improvement.

Design, develop, and deliver full-stack features for e-commerce apps. Convert user feedback into product improvements, maintain and optimize high-traffic back-end systems, perform code and design reviews, and improve development and deployment processes.

Deliver and implement ServiceNow solutions (ITSM/ITOM), configure and integrate products, develop custom scripts, produce technical documentation, run workshops/POCs, and support sales and service growth. Work is consultative with customer-facing delivery, both remote and on-premise.

Deliver ServiceNow consulting engagements focused on ITOM (discovery, service mapping, CMDB, event management); develop custom scripts and integrations; produce technical documentation; support services growth; deliver onsite or remote and educate customers on ITOM/ITIL practices.

Define technical vision and roadmap for the company ML platform. Architect scalable ML pipelines, MLOps practices, security, observability, and integrations. Guide model training, deployment, serving, monitoring, and provide technical leadership and mentorship across engineering teams.

Drive the full pre-sales technical motion: discover customer needs, design AI-enabled engineering solutions, deliver tailored demos and Statements of Work, guide account technical strategy, support adoption and expansion, and collaborate with sales, delivery, and product teams to align roadmap and deployments.

Build and maintain integrations connecting CoLab to CAD, PLM, and enterprise systems. Design and implement desktop and web capabilities, troubleshoot PLM/CAD workflows, collaborate with Product and Customer Success, and mentor engineers to deliver scalable, reliable engineering lifecycle software.

Analyze, extract, clean, and model large datasets from multiple systems; build data warehouses and predictive models; create financial analyses, dashboards, and client reporting; implement and monitor models with client teams; support client relationships and contribute to proposals and marketing as needed.

Perform end-to-end BI and data analytics work: extract and transform large datasets, build data warehouses and predictive models, create dashboards and reporting, manage client relationships, oversee analysts, and contribute to proposals and marketing as needed.

Deliver financial models, quality of earnings reports, KPI dashboards and data analyses; conduct market and company research; build client-facing decks and tools; manage client relationships and assist with proposals and marketing as needed.

Lead web and mobile development projects using modern tools and relational databases. Design frameworks, reproduce and resolve issues, enforce unit/integration testing, prepare documentation and deployments, mentor developers, gather requirements, and apply AI across the SDLC.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and end-to-end experiments. Select and adapt open-weight models, design robust rewards, deploy models to production, and improve behavior using real-world usage. The role requires strong Python engineering, experience taking models from raw data to production, GPU familiarity, and collaborative remote work.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Build and operate internal IT systems across identity, endpoints, Google Workspace, Slack, SaaS governance, and automation. Own Okta access engineering, Workspace ONE macOS fleet management, lifecycle workflows, compliance controls, audit evidence, and technical escalations. Partner with Security, Engineering, People, and Finance to improve security, reliability, and scalability while reducing manual IT support through automation.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Own identity and access engineering in Okta, macOS endpoint management in Workspace ONE, Google Workspace and Slack administration, SaaS governance, and IT automation. Build onboarding, deprovisioning, access reporting, device compliance, and audit-evidence workflows. Serve as a technical escalation point for identity, endpoint, access, and internal infrastructure issues while translating security and compliance requirements into durable IT controls.

Design and build AI‑enabled full‑stack capabilities for insurance product modeling and content transformation. Implement Java microservices on AWS with Docker/Kubernetes, create performant JavaScript/TypeScript front ends, leverage AI-assisted coding, improve CI/CD and observability (TeamCity, Git workflows), apply enterprise architecture and design patterns, and collaborate with product and engineering teams to deliver secure, scalable SaaS services.

Investigate and mitigate third-party fraud by developing detection strategies, real-time rules, dashboards, and customer-friendly policies. Collaborate with product, data science, engineering, and operations to prioritize, implement, and measure fraud prevention while balancing user experience.

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.

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.