Top Python Jobs in Toronto

Capital One Canada seeks a Financial Analyst intern for a four-month co-op to build automated financial models (including Python-based forecasting), analyze financial metrics, prepare forecasts and reports, support external reporting and audits, and assist accounting controls and testing. Projects focus on automating inputs, standardizing models, and improving HST liability forecasting.

Designs and develops wearable electromechanical medical devices from concept through prototyping, verification, validation, and manufacturing transfer. Integrates biosignal sensors, builds prototypes and test fixtures, conducts experiments, analyzes data using MATLAB or Python, and documents design controls, risk assessments, FMEA, and regulatory requirements. Collaborates with multidisciplinary engineering, clinical, manufacturing, and supplier teams to troubleshoot issues and deliver compliant healthcare products.

Support customers by troubleshooting technical issues, analyzing and reproducing bugs, identifying root causes, and delivering fixes. Design features, write production code and unit tests, contribute to automated testing, review code, and improve engineering practices. Develop infrastructure using Terraform and Helm, while working extensively with Kubernetes, Docker, Linux, cloud platforms, microservices, databases, and networking technologies. The role requires strong communication and customer-facing skills.

Configure, test, release, and support decision-platform rules, workflows, integrations, and application journeys. Translate business requirements and data into scalable customer decision solutions, collaborating with Risk, Product, Technology, Operations, and Data teams. Use SQL and analytical methods to validate outcomes, monitor performance, investigate incidents, perform root-cause analysis, and improve accuracy, customer experience, efficiency, and controls.

Lead productionization of deep learning models and scale ML systems for marketing personalization. Build, optimize, monitor, and deploy reliable, high-performance AI products; integrate research into product, mentor engineers, and drive adoption and evaluation (A/B testing, monitoring, orchestration).

Design, build, deploy, and scale AI-enabled workflows and agent-based automation across Sales, Marketing, Customer Success, and RevOps. Own backlog, integrate and optimize revenue tech (HubSpot, Gong, ChurnZero), measure impact with dashboards, document playbooks, and apply AI governance and monitoring to ensure reliable, ethical production systems that drive deal velocity and revenue outcomes.

Develop and maintain GIS web applications, geospatial services, enterprise integrations, automation tools, and spatial-data solutions. The role uses ArcGIS, Python, SQL, Azure, modern web technologies, and big-data platforms to support timberland, agriculture, forestry, and land-management operations. Responsibilities include geospatial analytics, mobile and offline field workflows, data validation, access governance, production troubleshooting, and CI/CD deployments. The developer collaborates with business and technical stakeholders to translate geospatial requirements into secure, scalable solutions.

Own and improve infrastructure security across corporate, cloud, network, endpoint, and operational environments. Responsibilities include vulnerability and configuration management, SIEM and security monitoring, EDR/XDR, incident response, cloud security, infrastructure hardening, security automation, and support for Government of Canada regulated environments. The role coordinates with IT, Engineering, Operations, and external security providers to reduce risk, remediate vulnerabilities, improve detection, and maintain compliance evidence.

Build and manage enterprise observability across cloud and hybrid environments using Dynatrace and AWS CloudWatch. Responsibilities include platform architecture, APM instrumentation, dashboard and alert development, incident triage, SLI/SLO and error-budget management, observability-as-code automation, telemetry governance, cost optimization, CI/CD integration, operational reporting, and mentoring engineering teams. The role requires advanced Dynatrace, AWS, Kubernetes, scripting, distributed-systems, and incident-management expertise.

Designs and leads scalable AWS and Databricks data pipelines, data models, quality frameworks, monitoring, testing, and production deployments. Investigates ambiguous data and business problems independently, translating requirements into secure, reliable technical solutions. Mentors engineers, establishes architecture and coding standards, and partners with architecture, analytics, product, and business teams. Supports AI readiness, data unification, metadata strategy, and enterprise integration initiatives.

Leads automation project engineering from planning and design through testing and commissioning. Designs control logic, network configurations, HMI and SCADA integrations, controller configurations, and technical specifications. Acts as a customer-facing technical lead, researches equipment and emerging technologies, oversees schedules and deliverables, reviews quality, supports field safety and commissioning, and mentors project engineers. Requires power-system drawings, communication protocols, SCADA, HMI, and OT networking expertise, with at least 25% domestic and international travel.

Develop state-of-the-art artificial intelligence and computer vision algorithms for publication and integration into Huawei products. Design and implement real-world AI/CV solutions, collaborate with research scientists and engineers, and supervise interns. The role focuses on video generation, 3D computer vision, machine learning, and rapid research prototyping.

Lead hands-on DevOps engineering efforts focused on designing, modernizing, and maintaining CI/CD pipelines, infrastructure, and technology platforms. Develop Java-based solutions, improve system reliability and availability, reduce technical debt and MTTR, and support containerized and distributed applications. Partner with engineering and management teams, resolve complex technical problems, establish coding and delivery standards, assess risk and controls, and coach mid-level developers and analysts.

Leads application and production support teams responsible for regulatory platform stability, data quality, operational excellence, risk compliance, vendor management, and service improvement. Oversees staffing, budgets, planning, incident and problem management, capacity and performance optimization, automation, monitoring, stakeholder engagement, and application support standards. Provides technical guidance, drives root-cause analysis and cost efficiencies, and mentors team members supporting Global Markets regulatory technology.

Lead development and productionization of fraud prediction models (tabular, graph, behavioral). Build scalable feature pipelines, run experiments, integrate models into real-time/batch systems, monitor model and data health, and collaborate cross-functionally to maintain model reliability and performance.

Lead backend architecture and development across the full SDLC for Capital One's travel platform. Own technical design, build fault-tolerant systems, improve developer experience, establish engineering best practices, and mentor junior engineers while collaborating with cross-functional stakeholders.

Lead certification, validation, and testing of enterprise cryptographic and data protection solutions for banking. Design lab environments, develop test and automation frameworks, evaluate encryption, key and certificate management, produce certification documentation and runbooks, and collaborate with architecture, cloud, and engineering teams on post-quantum and encryption initiatives.

Design and architect Security IP and SoC security subsystems. Develop RTL, constraints, and specifications; drive design exploration, optimization, and bug fixes. Collaborate with verification and implementation for test plans, verification closure, debug, and sign-off. Mentor team members and support project management, roadmaps, and processes.

Leads total fund data science, AI-enabled analytics, semantic modeling, governed data products, and investment reporting capabilities. Designs analytical models, ETL/ELT pipelines, semantic metric layers, data marts, and LLM/RAG interfaces across enterprise platforms. Provides technical oversight, governance, quality controls, stakeholder influence, and strategic delivery across Finance, Investments, Technology, and Data. Coaches colleagues and advances responsible AI adoption, reporting automation, investment insight generation, and operational efficiency.

Develop enterprise-wide full-stack software solutions using SQL and object-oriented programming, preferably C# and .NET. Translate business requirements into technical designs, implement and support applications, monitor performance, debug code, and follow technology and security standards. The role requires collaboration with architects and business analysts, software development lifecycle expertise, cloud or DevOps experience, and the ability to obtain a Government of Canada Reliability Clearance.

Design, develop, test, maintain, and support scalable Java full-stack applications for TD’s prime brokerage platform. Translate business requirements into secure technical solutions, build REST APIs and microservices, develop React front ends, and manage database integrations. Participate in code reviews, production support, incident resolution, root-cause analysis, deployment, performance tuning, and continuous improvement. Collaborate with business, QA, infrastructure, and application support teams while managing technical risks, dependencies, and delivery requirements.

Lead enterprise-wide agentic AI architecture, standards, reusable platform components, evaluation frameworks, and production implementations across SaaS products. Build secure, observable AI systems using Azure, Anthropic, Python, Java, RAG pipelines, model routing, and orchestration. Identify high-value use cases, optimize cost and performance, establish responsible AI governance, mentor engineers, and guide cross-functional teams from prototypes to measurable business outcomes.

Lead customer implementations of Smile Digital Health solutions by configuring the platform, scripting, troubleshooting, designing technical solutions, and providing architectural guidance. Collaborate with development, product, architecture, support, and customer-facing teams to deliver scalable, secure solutions. Manage concurrent projects, support technical analysts, contribute to RFPs, participate in on-call support, and track billable work in NetSuite.

Lead the design, implementation, rollout, and iteration of Baseten’s identity and authorization platform. Build fine-grained authorization, credential systems, identity lifecycle capabilities, agent credentials, and enterprise admin controls. Ensure low-latency permission checks, consistency, security, observability, and scalability across multi-tenant systems. Partner with product, design, and customer-facing teams, establish engineering practices, and provide technical mentorship as the team grows.

Build and own technically complex, end-to-end full-stack features and platform capabilities for AI-driven IoT products. Define technical strategy, ship backend/frontend/mobile work, scale data ingestion and APIs, partner with product/design/customer teams, mentor engineers, and drive cross-team projects from ambiguous problems to measurable outcomes.