Top Python Jobs in Toronto

Design and integrate high-performance connectivity silicon for AI infrastructure, including PCIe and Ethernet controllers, bridges, switches, and SerDes-related IP. Responsibilities span microarchitecture, SystemVerilog or Verilog RTL, synthesis, timing closure, IP integration, DFT, clock-domain crossing, simulation, emulation, and full-chip implementation through GDS handoff. Collaborate with verification, physical design, firmware, and system teams while automating workflows with Python or Perl.

Design, build, and operationalize enterprise data solutions across AWS and Snowflake. Develop Python and DBT ETL/ELT pipelines, integrate diverse data sources, and manage Apache Airflow workflows. Contribute to data warehouses, marts, governance, catalogs, and quality initiatives while applying modern and legacy data platform expertise in an agile environment.

Designs and specifies railway Communication-Based Train Control systems through requirements analysis, architecture, modeling, simulation, software development, testing, and defect resolution. The role develops and reviews code, investigates field issues, defines system and subsystem requirements, supports customer acceptance, and collaborates with systems engineering teams. It also contributes to cost estimates, work package management, technical reviews, mentoring, and continuous improvement while delivering solutions within cost, schedule, and quality objectives.

Build and operate high-volume event streaming pipelines and analytical databases. Write production Elixir/Python services, integrate legacy pipelines, enforce event schemas and data quality, and provide monitoring, alerting, and SLA-driven observability for event data products.

Leads the architecture, design, development, integration, testing, and lifecycle governance of complex safety-critical railway signaling software. Defines architectures, analyzes requirements, designs algorithms, reviews code, troubleshoots defects, supports field testing and bids, and ensures compliance with quality, security, and safety standards. Provides technical leadership, mentoring, and guidance while driving CI/CD, technology innovation, and software engineering improvements.

Leads multi-team technical strategy and roadmap execution while remaining hands-on across frontend, backend, infrastructure, and data. Owns technical debt management, architecture consistency, API integrations, observability, SLAs, testing strategy, and developer tooling. Mentors engineers including senior staff, drives cross-team alignment, influences leadership, and delivers multiple significant initiatives in parallel. Requires deep Python and Django expertise, cloud and CI experience, and a computer science-related degree.

Conduct research in Physical AI, Embodied AI, and Spatial AI, developing robotic foundation models, world models, multimodal systems, planning, reasoning, imitation learning, reinforcement learning, and control methods. Translate research into production-ready code, run experiments in simulation and on real robots, collect and analyze data, collaborate with infrastructure and robotics teams, and contribute to patents and publications at leading AI and robotics venues.

Design, build, and maintain scalable data pipelines and infrastructure using Spark, Kafka, cloud platforms and containerization. Ensure data integrity, ETL, high availability, performance tuning, observability, and collaborate with AI/data science teams to enable analytics and ML solutions.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Develop and maintain internal automation tools, dashboards, and control panels using Next.js, React, Python, PHP, WordPress, APIs, databases, and AI services. Integrate third-party systems, troubleshoot and improve automation workflows, optimize performance and reliability, document technical solutions, and collaborate with the Product team. This is a fully remote independent contractor role requiring collaboration during EST hours.

Leads the Infra Foundations engineering team, setting its roadmap, mentoring engineers, and maintaining reliable AWS foundations. Owns account provisioning, networking, IAM, infrastructure-as-code automation, GitOps workflows, quota management, patching, configuration management, incident response, and security collaboration. Establishes operational standards, drives self-service tooling adoption, and ensures infrastructure frameworks are safe, consistent, and dependable across teams.

Staff Machine Learning Engineer sets technical direction for production ML architecture, deployment, serving, monitoring, testing, CI/CD, observability, and incident response. The role builds high-throughput, low-latency ML services; leads MLOps practices; supports recommendations, ranking, multimodal systems, LLMs, and AI agents; and drives cross-team technical decisions and multi-quarter initiatives.

Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers.

Leads end-to-end architecture for complex cloud, data, and AI/ML systems. Defines technical strategy, designs scalable multi-cloud and hybrid solutions, establishes infrastructure-as-code and DevOps standards, drives migrations and modernization, and optimizes performance, cost, security, and reliability. Partners with clients and leadership, documents architecture, mentors engineers, evaluates emerging technologies, and serves as a technical escalation point for complex integration challenges.

Own end-to-end IT for a multi-site startup, including employee support, onboarding and offboarding, device management, identity and access, office infrastructure, vendors, AI tooling governance, security operations, and CMMC/NIST compliance. Develop security policies, incident response playbooks, audit readiness, scalable IT processes, budgets, and strategic roadmaps while advising leadership and supporting defense-related requirements.

Design and optimize Efficient’s processor architecture across the hardware-software interface. Responsibilities include defining interfaces with compiler and digital design teams, building architectural simulators and performance dashboards, executing design-space exploration experiments, analyzing and visualizing data, and producing technical reports and publications.

Lead pricing and packaging strategy, build financial and operational models, analyze customer and competitive data, partner with Finance/Product/Engineering/GTM, communicate recommendations to leadership, and drive cross-functional execution to operationalize pricing, SKUs, billing, and product changes.

Ensures the stability, security, and efficient operation of cloud and on-premises infrastructure. Responsibilities include designing and deploying systems, managing Azure, AWS, and GCP environments, integrating servers and enterprise services, maintaining identity and networking platforms, conducting audits and disaster recovery procedures, monitoring performance, troubleshooting issues, coordinating vendors, documenting configurations, and supporting end users. The role also contributes to systems planning, governance, testing, optimization, and cloud-hybrid infrastructure strategy.

Analyze claim reserve adequacy using actuarial methods and advanced machine learning models in Python. Support quarterly reserve committee and year-end valuation reporting, maintain internal and external monitoring reports, and provide financial performance insights from a reserving perspective. Partner with cross-functional teams to assess portfolio impacts and improve processes. The role requires actuarial exam progression, strong analytical and communication skills, and proficiency in Excel and VBA.

Build reliable, scalable backend and frontend features for Zip’s enterprise procurement platform. Responsibilities include designing APIs, web applications, and maintainable software; collaborating with product and customer-facing teams; solving complex technical challenges; and developing AI-enabled workflow automation and decision-making capabilities.

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Responsibilities include breaking projects into tasks, collaborating with product, design, and analytics teams, developing scalable APIs, writing tested and extensible code, monitoring service metrics, supporting on-call operations, debugging, conducting code reviews, and participating in team development and interviews.

Build scalable end-to-end Generative AI applications using Java, Python, microservices, Angular, and React. Develop backend APIs, distributed workflows, ML model integrations, responsive enterprise interfaces, and cloud-native deployments. Own testing, CI/CD, containerization, performance, security, and fault tolerance. Collaborate with UX, product, ML, and cross-functional teams while mentoring junior developers and driving engineering best practices.

Leads quality assurance for safety-critical CBTC rail solutions and deliverables. Responsibilities include quality planning, compliance assessments, audits, non-conformance management, root cause analysis, quality reporting, milestone approvals, continuous improvement, supplier and customer coordination, and support for safety authorizations. The role guides multidisciplinary engineering and project teams in meeting quality standards, managing risks, addressing customer concerns, and improving first-time-right performance.

Conduct research on AI agents, LLMs, VLMs, code generation, and multimodal AI. Develop GUI, coding, web, mobile, and computer-use agents; create training pipelines, datasets, benchmarks, and evaluation frameworks; and investigate supervised fine-tuning, reinforcement learning, tool use, and function calling. Analyze experiments, publish findings, collaborate with engineering and product teams, and translate research prototypes into practical technologies.