Top Python Jobs in Toronto

Build and maintain reliable data pipelines, integrations, APIs, and event-driven or batch processing systems. Transform data from advertising, commerce, and order management platforms while improving monitoring, data freshness, performance, security, and scalability. Partner with product, infrastructure, and data engineering teams to expand the integration platform and onboard new sources in a cloud-native, multi-tenant environment.

eBay is hiring ML Scientists to design state-of-the-art ranking, recommendation, personalization, and pricing models, and ML Engineers to productionize models by building ETL/ELT workflows, inference pipelines, MLOps infrastructure, deployment automation, monitoring, and cost/ performance optimization. Both roles contribute to feature engineering, model serving, observability, and maintaining production ML platform components like Zipline.

Design, build, and own integrations between a fintech platform and ERP or accounting systems. Develop REST and SOAP services, synchronization and reconciliation workflows, data mappings, validation, retries, audit trails, and observability. Improve reliability and performance, troubleshoot production failures, and collaborate with onboarding, support, engineering, and non-technical stakeholders. The role requires strong C#, .NET, SQL Server, messaging, and financial-system integration experience, with opportunities to use Azure and AI-assisted development tools.

Leads statistical programming for pharmaceutical clinical development studies, generating SDTM and ADaM datasets, specifications, tables, listings, graphs, and regulatory documentation. Develops, validates, and maintains SAS and R programs; supports FDA submissions, clinical study reports, DSURs, publications, and data transfers. Oversees programming deliverables, maintains standards and macros, collaborates with CROs and vendors, and provides technical leadership and mentorship.

Develop and implement safety framework methodologies for autonomous trucking readiness decisions. Build high-signal safety datasets across simulation and closed-course testing, establish feedback loops from road monitoring and safety events, validate safety evaluation pipelines, and create traceable safety artifacts. The role also requires cross-functional collaboration, technical mentorship, data analysis, statistical evaluation, and evidence-based safety case development for autonomous vehicles.

Build and deploy internal AI tooling, agents, integrations, and workflows that improve productivity across engineering, research, and business teams. Evaluate emerging AI tools and models, develop observability and responsible-use guardrails, and partner with stakeholders to prototype and scale solutions. Drive adoption through documentation, enablement, and hands-on support while integrating AI into autonomy, simulation, ML training, and business workflows.

Lead infrastructure and platform engineering across physical and virtual environments, including operating systems, OpenShift, cloud platforms, networking, monitoring, capacity, disaster recovery, security, and automation. The role defines architecture and operational standards, manages vendors, supports audits and complex troubleshooting, develops documentation, and mentors engineering staff while ensuring availability, resiliency, and compliance with service objectives.

Contribute to designing, training, testing, and deploying machine learning models and production pipelines. Collaborate with product managers, data scientists, and ML engineers to solve business problems, analyze data, communicate findings, and participate in code and specification reviews. The intern will apply research papers in working code, build efficient ML workflows, and develop high-quality software in a collaborative environment.

The Senior Systems Engineer will design and develop data applications, lead software development teams, oversee data integration projects, manage BI systems, and ensure optimized performance while collaborating across teams.

Develop and maintain UVM-based verification environments for complex connectivity silicon. Create verification plans, constrained-random tests, assertions, coverage models, VIP integrations, and automated regression infrastructure. Debug simulation, co-simulation, and FPGA emulation failures while collaborating with RTL designers. Verify protocols including PCIe, Ethernet, InfiniBand, DDR, NVMe, and USB, and contribute to technical reviews and verification closure.

Software Engineer Intern working on full-stack, user-facing Lyft products. Responsibilities include developing and refactoring code, writing unit, integration, and load tests, participating in code reviews, and supporting continuous integration and deployment. Candidates should have web development experience with Python, JavaScript, React, TypeScript, databases, testing tools, browser technologies, and Git. The internship is based in Toronto during Summer 2027 on a hybrid schedule.

Data Science interns develop optimization, machine learning, and statistical models for Lyft’s transportation marketplace. Responsibilities include exploratory data analysis, production modeling code, algorithm implementation, simulated and live experiments, analysis of experimental and observational data, and communicating findings to cross-functional partners. Interns collaborate with engineering and product teams to support launch decisions.

Leads AI and Generative AI engagements from discovery through production, serving as the client and technical delivery lead. Combines project management with hands-on architecture and development of LLM applications, RAG pipelines, AI agents, APIs, and cloud-based services. Coordinates cross-functional teams, manages risks and delivery milestones, translates business needs into technical solutions, and oversees evaluation, monitoring, deployment, and production readiness.

Supports the customer risk portfolio management team by preparing data, conducting credit risk analysis, automating recurring reports, documenting risk strategies, implementing strategy changes, and identifying opportunities to improve customer risk management. The role uses PySpark, SQL, Python, Excel, and PowerPoint while collaborating on business growth and risk optimization initiatives.

Lead fraud investigation, monitoring, prevention, and operational improvements across the Scene+ loyalty ecosystem. Analyze suspicious accounts, transactions, behavioral patterns, and fraud trends; configure detection rules, reduce false positives, and recommend controls and AI-enabled solutions. Manage fraud prevention systems, automate investigative workflows, maintain operational procedures, and collaborate with cybersecurity, legal, member services, technology, and partner fraud teams to protect members and reduce losses.

Build and support enterprise integrations and automations using Workato and Boomi, with emphasis on Legal systems. Design APIs, SFTP connections, ETL pipelines, AI agents, MCP servers, custom scripts, and employee-facing workflow tools. Manage secure platform environments, troubleshoot production issues, and integrate CRM, HR, Finance, Supply Chain, and Legal applications. Partner with stakeholders to gather requirements and provide production support and on-call coverage.

Build and operate large-scale infrastructure and data pipeline platforms. Responsibilities include developing automation, monitoring system health, improving reliability and scalability, managing cloud infrastructure, participating in design and production readiness reviews, planning capacity, documenting processes, and responding to incidents through on-call rotations. The role requires production software development, infrastructure tooling, data streaming and storage expertise, and experience optimizing distributed systems in public cloud environments.

Develop signal processing algorithms for camera, LiDAR, radar, and other autonomous-driving sensor data. Design acquisition, fusion, filtering, and learning-based methods; optimize them for CPU, GPU, DSP, and specialized accelerators; and collaborate with autonomy and hardware teams to deliver reliable, low-latency production systems. The role also supports experimental validation and potential research publications.

Leads the design, development, integration, testing, and deployment of safety-critical railway signaling software. Responsibilities include architecture, algorithm development, coding, debugging, requirements refinement, defect analysis, field investigations, code and test reviews, and collaboration with Systems Engineering. The role also provides technical leadership, mentoring, continuous improvement, and work package support while ensuring compliance with safety-critical development processes.

Mechanical Engineering Intern supporting the development, testing, and maintenance of reaction wheel and star tracker products. The role involves applying engineering concepts, designing parts and assemblies, preparing CAD drawings, working with mechanical components, collaborating across teams, and learning through mentorship. Candidates must be enrolled in mechanical or aerospace engineering, work full-time onsite for at least 16 weeks, and have applied engineering experience.

Lead design and delivery of backend risk systems to detect and prevent fraud, manage credit and market risk, and protect users. Drive architecture for distributed, high-availability services, partner with Data Science/ML and product teams, build AI-native detection and response systems, mentor engineers, own operational excellence, and lead incident response and post-mortems.

Senior Business Analyst supporting investment valuation, stress testing, derivatives pricing, risk monitoring, and exposure solutions across asset classes. Partners with product owners, architects, traders, portfolio managers, risk, finance, and technology teams to define requirements, manage roadmaps and backlogs, prototype solutions, and deliver sustainable technology. The role also requires embedding AI into capital markets workflows and supporting valuation systems’ day-to-day operations.

Supports hospital leaders and clinicians by translating business needs into analytics requirements, KPIs, dashboards, reports, and data-driven recommendations. The role cleans and validates data, performs exploratory and statistical analyses using R or Python, documents reproducible workflows, supports predictive analytics projects, develops business cases, and collaborates with developers and stakeholders to deliver reliable health analytics solutions.

The Product Manager for Data Products at Capital One will drive the design and operationalization of data products, prioritizing long-term roadmaps, defining metrics-driven strategies, and collaborating across teams to enhance customer experiences.

The Senior Site Reliability Engineer will design, optimize, and maintain MongoDB's multi-tenant distributed storage systems, ensuring reliability and operational safety while implementing automation solutions and participating in on-call support.