Top Python Jobs in Toronto

The IT Data Specialist provides technical leadership in data analysis including data modeling, ETL, reporting design, and ensures data quality management, collaborating with business and technology partners.

The Data Engineer II will perform data engineering functions such as data modeling, ETL, and data quality management while collaborating with various teams and maintaining compliance with data standards.

Design, build, and deploy AI and automation solutions (LLMs, Copilot, Power Platform) that integrate with enterprise systems. Rapidly develop MVPs, implement prompt engineering and RAG strategies, create APIs and workflows, perform testing and UAT, support deployments, and maintain architectural and security documentation while collaborating with stakeholders and security teams.

Lead the delivery of Generative AI products by managing the product lifecycle, facilitating Agile execution, and ensuring alignment with user needs.

Seeking 2-3 RPA Developers for a banking client to design, develop, test, and support automation solutions using UiPath and coding languages.

Entry-level software engineering role for 2027 graduates in an Engineering Development Program. Participate in rotations and training, solve coding challenges, work on backend, frontend, and mobile stacks, and collaborate in-office four days/week during the first two years.

Analyze large datasets to produce BI dashboards and revenue assurance reports, monitor KPIs, investigate anomalies, support rate/volume variance analysis, implement controls across lead-to-cash, and recommend operational improvements to maximize revenue and margin.

Maintain and organize development lab hardware and cabling, install and decommission network/AV devices, handle optical transceivers, keep accurate inventory, write Python/Bash utilities, and support Jenkins CI infrastructure to enable engineering testing and development.

Design and develop data products for Commercial Insurance by converting business needs into user stories and technical specs. Evaluate data sources, support Agile development, scope projects, plan and review tests, ensure data documentation, governance, and integrity, and share analytics best practices with stakeholders.

Develop, maintain, and monitor actuarial predictive models using statistical and machine learning techniques; collaborate with pricing, data science, and ML teams; implement end-to-end model pipelines; ensure model governance and compliance; communicate findings to stakeholders and manage multiple modeling projects with technical documentation.

Build and deploy production-grade AI features and backend services for generative AI, LLM integrations, conversational AI, and retrieval-augmented systems. Collaborate with product, research, and data teams, contribute to design and code reviews, implement evaluation pipelines, monitor production quality, and mentor junior engineers.

Build and lead design, implementation, and production deployment of Generative AI and LLM-powered systems. Own backend services, model integration, RAG/agent architectures, evaluation pipelines, monitoring, and reusable GenAI platform components while mentoring engineers and partnering with cross-functional teams.

Lead architecture and implementation of Sentry's Issue Workflow platform, solving performance and scalability challenges, driving technical strategy, building real-time pipelines and search systems, and mentoring engineering teammates to improve product quality and user experience.

Owner of Float's Snowflake architecture and ingestion layer: build orchestration, observability, data quality and contracts, CI/CD for data code, support ML pipelines, and collaborate with analytics, data science and product teams to deliver reliable, cost-efficient, governed data.

Lead physical climate risk methodology and integration across investment, asset management, development, and operations. Monitor regulation, translate climate modelling into actionable recommendations, oversee data and analytics, support resilience planning, coordinate cross-functional regulatory responses, prepare executive materials, and represent the firm in external working groups.

Design, implement, and maintain production-grade embedded Linux services on ARM SoM platforms for industrial power systems. Responsibilities include BSP customization, Yocto-based image generation, board bring-up, industrial communication (Modbus, RS485, TCP/IP), lightweight web and HMI interfaces, alarm/event logging, secure update/recovery, hardware interfacing and diagnostics, testing/validation, and documentation for manufacturing and field support.

The Senior Software Developer will design, build, and maintain high-quality code for front-end and back-end services while optimizing system performance and mentoring team members.

Lead and grow a software team (up to ~10), run Agile processes, set targets, partner on hiring and roadmaps, remove blockers, manage technical debt, and ensure timely, high-quality delivery.

Drive analytics and measurement for AI product adoption and impact. Build agentic analytics, small language models, predictive models, and customer-facing insights. Design and run experiments (A/B tests, causal inference), ship production models, and translate ambiguous business questions into actionable recommendations used by product, sales, and leadership.

As a Senior Software Engineer, Full Stack, you will build backend services and APIs for a document analysis platform, focusing on server-side architecture and data processing, while also contributing to frontend features as needed.

This role involves using data analysis to support marketing strategy, measuring campaign impact, and developing insights to inform marketing decisions.

Own end-to-end risk strategy projects to detect and prevent fraud: analyze onboarding, account, and transaction data; design, test, and tune fraud rules; backtest impacts; implement tooling and vendor data; collaborate with Risk Ops, Product, Engineering, and Data; and communicate insights to stakeholders to balance fraud prevention with customer experience.

Lead the AI Platform team, define AI strategy, deliver AI capabilities, mentor engineers, and foster a culture of innovation and collaboration.

The role involves managing a software engineering team, collaborating with product and design teams, and driving AI initiatives for contract management solutions.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.