Top Python Jobs in Toronto

Design, build, and deploy scalable, secure machine learning solutions—with emphasis on recommender systems. Produce design docs and representative models, establish ML best practices and quality control, lead engineering efforts, and collaborate cross-functionally to integrate ML products using cloud, MLOps, and data engineering tools.

Summer internship supporting Riveron's Technology & Innovation practice. Contribute to software development, data & analytics, cloud infrastructure, ERP/finance assessments, and client deliverables. Gain project delivery experience, research client environments, troubleshoot technical issues, support proposals, and collaborate with multidisciplinary teams under senior guidance with mentorship and professional development.

Support quarterly IFRS 9 allowance and provision for credit loss (ACL/PCL) reporting and analysis. Ensure data accuracy, perform reconciliations, automate reporting, maintain controls and governance, respond to audits/regulatory inquiries, and collaborate with Finance, Credit Risk, Data Management, and Model Development teams.

Design and implement advanced automation frameworks and toolsets, define and execute test scripts, collaborate with teams to set test scope, resolve quality issues, optimize automation strategies across web, mobile, performance, and data automation, and support Agile projects.

Lead and manage QA teams and initiatives; design QA solution architectures across Agile/Waterfall/Hybrid lifecycles; set automation and performance testing strategies; select and implement tools and CI pipelines; act as technical consultant for clients and participate in presales; plan resources, risk analysis, and estimates; be a senior billable resource (~50% client-facing).

Lead development and maintenance of the core data platform: build performant pipelines, data warehousing, and ML infrastructure; partner with data scientists to produce production datasets; ensure data governance, quality, lineage, and accessibility; integrate cross-platform data sources; automate reporting and deliver stakeholder insights to enable data-driven decisions.

Design and implement production GenAI solutions with a focus on RAG and Azure serverless platforms. Build backend APIs, scalable data pipelines for indexing/embedding/retrieval, deploy serverless Azure services, implement CI/CD and IaC, and enforce security, governance, and compliance while collaborating with cross-functional teams.

Design, build, and deploy agentic AI workflows, LLM-enabled services, and cloud-native platform components. Integrate AI capabilities with enterprise systems, ensure production readiness, implement guardrails, testing, and monitoring, and collaborate with architects, delivery managers, and stakeholders to deliver secure, scalable AI-enabled automation and workflow solutions.

Analyze customer, digital and transportation datasets to generate insights and segments, build dashboards and geospatial analyses, mentor junior analysts, support advanced modeling and A/B testing, run trainings, and present actionable findings to stakeholders.

Support the Trading Strategy desk by building and maintaining data pipelines, tools, and analytics for quantitative, thematic, and macro research. Assist development and testing of trading strategies, maintain internal technology assets, monitor markets and events, and provide support for trading processes, risk management, and collaboration with internal and external stakeholders.

Lead and scale a product-focused data science organization to build production ML systems for personalization, recommendation, experimentation, and causal inference. Define strategy, partner with Product and Engineering, own end-to-end ML lifecycle, mentor the team, and measure product impact through robust analytics and monitoring.

Embed as financeAI partner across Tax, Controllership, Treasury, FP&A, and Opco teams to identify, prioritize, prototype, and deliver AI and data science solutions. Translate finance problems into technical requirements, ship LLM/retrieval/agentic tools, drive adoption, measure ROI and impact, and help scale the AI finance capability and team.

The Software Engineer will refine the existing React app and build new features, acting as the frontend expert to debug issues. They will collaborate with a high-performing team in an in-person environment and focus on delivering a polished customer experience.

Join a research-focused team to integrate AI (LLMs and autonomous agents) into mobile platform development. Build AI-driven code generation and agentic systems, design core mobile components, and collaborate across teams to deploy AI-enhanced developer tooling and monitoring for HarmonyOS and large-scale mobile ecosystems.

As a Data Engineer, you'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

Administer and optimize hybrid IT and OT infrastructure across Azure and on-premises environments. Maintain Windows and Linux servers, Microsoft 365 services, networking, firewalls, VPNs, endpoint management, backups, and asset lifecycle. Automate tasks with scripting and AI tools, support incident escalation and end users, contribute to projects, security configuration, vulnerability remediation, compliance evidence, and documentation to improve reliability and scalability.

Serve as the technical lead for Cyera's platform, driving customer onboarding, adoption, and ROI. Design custom use cases, troubleshoot issues, lead technical workshops and executive reviews, mentor team members, advocate customer feedback to product, and monitor customer health to enable expansion and retention.

Build and deploy production LLM/ML pipelines for patent workflows: retrieval, multi-step prompt pipelines, evals frameworks, fine-tuning, agentic workflows, monitoring, and cloud deployment. Collaborate with attorneys and cross-functional teams to convert domain expertise into robust, scalable inference and data solutions.

Design, build, and maintain end-to-end full‑stack features across Python/FastAPI backend, Next.js frontend, and LLM inference pipelines. Collaborate cross‑functionally to deliver scalable AI-powered patent analysis, optimize performance, address production issues, and reduce technical debt while improving engineering practices.

Design and develop data products for commercial insurance by analyzing new data sources, elaborating requirements and user stories, supporting project scoping and testing, ensuring data documentation, integrity monitoring, and governance, and collaborating with business and engineering teams to validate solutions.

Perform hands-on analytics for live-service games: analyze player behavior, retention, monetization, and economy health; build and maintain dashboards; write complex SQL workflows; partner across product, live ops, finance, and engineering; run experiments and modeling; define KPIs and improve data quality; present insights and recommendations to stakeholders.

The Associate Director will lead technology strategy, focusing on Data and AI solutions, drive innovation, and enhance customer success through collaboration and strategic partnerships.

As an Engagement Manager, lead BI projects, guide teams to transform data into actionable insights, and develop BI strategies ensuring data integrity and quality.

Lead the design, development, and deployment of FPGA-based systems for satellite payloads, overseeing a diverse team while ensuring high-quality and efficient project execution.

Design, implement, and integrate scalable data pipelines and analytics engines for compliance and surveillance. Integrate upstream bank systems with core surveillance platforms, work with big data frameworks, cloud data lakes, and messaging systems to support AML, trade and payments surveillance.