Top Python Jobs in Toronto

16-week Summer 2027 internship in Toronto collaborating with strategy analysts, data scientists, and product managers. Analyze data, formulate and test hypotheses, and present recommendations to stakeholders. Example projects include fraud trend analysis, product fit frameworks, and building challenger predictive models to improve decision-making and reduce costs.

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).

Lead design and delivery of enterprise automation, integrations, and AI-driven workflows. Architect scalable integrations across SaaS platforms, build conversational self-service and agentic experiences, enable AI/LLM-based automation, and partner with security, infrastructure, and product teams to ensure resilient, maintainable enterprise platform solutions.

Use Coursera learner and product data to define and track KPIs, analyze consumer behavior, produce dashboards, partner with business leaders to inform consumer strategy, and present actionable insights to cross-functional teams to drive product and business decisions.

Design, develop, and deploy scalable LLM-based solutions (RAG, agentic workflows, PEFT). Lead architecture, implement cloud and DevOps best practices (AWS, Azure, Databricks, Terraform, Docker, Kubernetes), build prompt/response guardrails, collaborate cross-functionally, and manage full SDLC and production deployments.

Lead design, automation, and maintenance of secure, scalable IT infrastructure across SaaS, cloud, and endpoints. Administer core platforms, manage cloud touchpoints, build scripting and IaC automation, run onboarding/offboarding lifecycles, troubleshoot networks, lead IT projects, mentor junior engineers, and partner with Security and business units to align IT with compliance and risk posture.

Graduate research co-op focused on building Customer World Models and proactive intelligence: designing representation learning, foundation-model, reinforcement learning, and agentic systems; running experiments, publishing, and deploying research into production to improve long-horizon decision-making and customer-facing automation.

Design, build, and operate enterprise identity and endpoint security systems. Implement lifecycle automation, SSO/SCIM provisioning, phishing-resistant MFA, conditional access, endpoint hardening and EDR operations. Build automation and AI agents to reduce manual work, run the enterprise security program, monitor metrics, and partner on telemetry and incident response.

Design and develop Large Language Model-based applications within Pharma R&D, focusing on client collaboration and technical excellence while ensuring production readiness and performance optimization.

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.

Lead HR analytics reporting and strategic analysis to inform talent decisions. Build KPIs, dashboards and experiments, analyze program impacts, partner with HR stakeholders, and deliver insights for engagement, recruitment, attrition, and associate experience.

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

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.

Lead hardware and embedded security for Motive devices: establish secure-by-default baselines (boot chain, firmware, FOTA, manufacturing), perform threat modeling and architecture reviews, define security requirements, drive remediation with hardware teams, and build scalable security components and automation across device lifecycle and cloud-connected infrastructure.

Lead pricing analytics for international market expansion: define pricing strategy, structure platform deals, perform economic analyses, run experiments, monitor and iterate pricing and offerings, and partner with cross-functional teams (Product, Credit, Finance, Engineering, Strategic Partnerships).

Lead technical strategy and execution for a backend ledger team building audit-grade, highly available financial systems. Drive architecture, operational reliability, monitoring, code quality, mentorship, and cross-functional collaboration to deliver accurate, scalable ledger and accounting functionality.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

Design, build, and scale real-time and batch data infrastructure and pipelines (Kafka, Databricks, Snowflake) to power analytics, reporting, and AI-powered data experiences. Drive data modeling, governance, observability, and best practices while partnering with cross-functional teams and mentoring engineers.

Lead production database troubleshooting and performance tuning for multi-tenant PostgreSQL/MariaDB fleets, perform Linux and instance performance analysis, own incident RCAs, build observability and automation, influence cloud infrastructure decisions, and mentor cross-functional engineers.

Lead production database troubleshooting and performance tuning for multi-tenant PostgreSQL/MariaDB fleets. Own incident RCA, develop observability and automation, influence platform infrastructure, mentor engineers, and support Linux and containerized web applications at scale. Perform performance/stress testing and support SaaS/PaaS/cloud operations.

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.

Design, build, and manage Canadian sovereign and global cloud infrastructure using code. Automate provisioning (Terraform, Crossplane), develop services in Go/Python, onboard services, operate Kubernetes, use Puppet/Ansible, and collaborate with SRE, networking, and system administration to ensure secure, scalable environments.

Produce forward-looking, objective research and ratings on funds and other investment vehicles. Conduct quantitative and qualitative analysis using Morningstar databases, interview managers, monitor regulatory information, perform on-site due diligence, and contribute to analytical tools and thought leadership.

Design and implement backend and real-time features in the GitLab monolith for portfolio planning at scale. Optimize PostgreSQL performance, evolve APIs (GraphQL/REST), build capacity planning and work-item hierarchies, create proofs of concept, maintain automated tests, support safe rollouts with feature flags and observability, mentor contributors, and participate in on-call and production troubleshooting.