Top Python Jobs in Toronto

Design and develop motion planning software and algorithms for self-driving vehicles, collaborating with engineers and researchers while maintaining progress on long-term goals.

Research Scientists at Waabi will lead AI projects to develop algorithms for self-driving technology, collaborate on solution deployment, and publish research at conferences.

Lead post-silicon power characterization and correlation for semiconductor products, develop measurement strategies, and improve power architectures to meet specifications.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

As a Growth Engineer, you'll design and execute go-to-market strategies, orchestrate workflows, manage customer data platforms, and drive demand generation across AI-native products, working directly with executives to deliver rapid results.

Support Capital Markets Supervision by reviewing surveillance and trade reports, validating activity, and documenting results. Analyze surveillance data, monitor electronic and voice communications, assist regulatory risk assessments, build supervisory procedures, and collaborate with legal, operations, middle office and second-line compliance to ensure adherence to OTC derivatives and swap dealer regulations.

Lead strategy and execution for Scribd's Search product, defining multi-year roadmaps and metrics, partnering with ML, engineering, design, and analytics to ship ML-driven retrieval and ranking features that improve relevance, engagement, and conversion across large-scale consumer surfaces.

Master-level internship to design and deploy agentic workflows and RAG/search pipelines, select and integrate LLMs via APIs/MCP, engineer prompts and evaluations, connect models to data sources, and validate AI-generated outputs within cross-functional teams.

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.

Build and maintain integrations and data pipelines connecting client databases, APIs, and SaaS tools. Extract, clean, transform, and move messy real-world data to feed retrieval and agentic AI systems, apply security and privacy best practices, and document reproducible integrations.

Develop and optimize FPGA routing algorithms within the compiler toolchain. Improve performance, routability, timing closure, and scalability. Collaborate with architecture, synthesis, timing, and hardware teams; debug routing congestion and integrate features into the compiler infrastructure.

Design, build, and lead cloud-native platform infrastructure powering generative AI agents. Deliver CI/CD reference pipelines, Go CLI tools, scalable Kubernetes/AWS/GCP production systems, platform security, monitoring/observability, and developer enablement to support large product teams.

Maintain and organize lab and small data center cabling and devices, rewire and reconfigure equipment per test plans, manage inventory, handle optical transceivers, develop Python/Bash utilities, and support Jenkins CI infrastructure and build triage as needed.

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.

Own and maintain data platform infrastructure: provision Snowflake via Terraform, build CI/CD for dbt, implement data quality and observability, extend the OpenMetadata catalog, create developer tooling and reproducible environments, and ensure secure, production-ready data pipelines.

Lead model risk governance reporting, regulatory submissions, and automated reporting processes. Manage executive committee materials, identify and track model risks, collaborate with cross-functional stakeholders, and leverage programming to automate and analyze large datasets.

Deliver quantitative analytics and models for portfolio, ALM, and balance-sheet metrics. Build Python-based analytics, data pipelines, and dashboards. Run scenario and stress tests, pre/post-trade analysis, and decompose portfolio and surplus risk. Support PMs, ALM, and Risk teams with documented, reproducible analytics.

Design and build an enterprise data warehouse on BigQuery, implement ETL/streaming pipelines from source systems, establish modelling standards (raw, staging, curated, semantic), enforce CI/CD/testing/observability, manage data quality and cost, partner with finance and stakeholders for reporting, and lead the team technically toward an AI-ready data foundation.

Lead design, development, and integration of cross-platform application systems. Build and maintain ETL pipelines, ensure data governance and security, consult on infrastructure and technology selection, mentor junior staff, and translate business requirements into technical solutions using Python and relational/noSQL data stores.

Support spacecraft architecture, analysis, and verification tasks including trade studies, mission and technical budgets, requirements management, MBSE model contribution, scripting for analysis/automation, and cross-functional engineering support for design reviews and hardware testing.

Build and ship LLM-powered features and agentic workflows for a financial platform. Own data pipelines, retrieval architectures, context design, and MLOps to move models from prototype to production. Collaborate with domain experts, evaluate experiments, and contribute to AI Lab tooling and practices.

Lead finance analytics, own data warehouse and BI strategy, build Finance AI automation and model foundation, optimize GCP costs, create self-service analytics, ensure data governance and audit readiness, and manage a cross-functional team supporting FP&A and accounting.

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.

The Senior Software Developer will design, build, and maintain backend services for record management and data enrichment, while mentoring other developers and collaborating across teams.

Evaluate and label model-generated and human-written software engineering outputs for coding, debugging, and codebase-related tasks. Assess agent trajectories, prompt models for complex coding tasks, proofread and improve responses, and report quality and performance trends. Part-time contractor role contributing to model development.