Top Python Jobs in Toronto

Partner with operations, supply chain, and finance to analyze manufacturing metrics, build and maintain dashboards (Power BI), translate business requirements into reporting solutions, support ERP/UAT and post-implementation change management, and deliver data-driven recommendations to improve production performance.

The ASIC Validation Engineer will debug silicon, build test setups, execute tests, and collaborate with designers to validate hardware functionality.

The Applied Scientist will develop quantitative models to improve pricing, demand forecasting, and risk management, collaborating with cross-functional teams to implement solutions.

Build and deploy production-scale LLM and ML systems: own end-to-end lifecycle, optimize GPU/Kubernetes deployments, implement production APIs, monitoring, CI/CD, collaborate with product, and set AI engineering best practices.

Lead SRE work to design and improve CI/CD pipelines, provision and maintain AWS infrastructure with IaC, manage containerized deployments, provide on-call incident triage and post-incident reviews, drive reliability initiatives (DR, security, cost optimization), implement monitoring/alerting, script automation with Python/Bash, and collaborate with global teams to embed SRE practices.

The Growth Marketing Engineer will architect growth loops, optimize performance ads, manage data infrastructure, and oversee technical marketing systems to enhance worker acquisition and retention.

As an Artificial Intelligence Student, you will implement AI projects, develop solutions, evaluate initiatives, and support team members in AI-related tasks.

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.

As a Strategy Analyst, you will perform data analytics, contribute to product strategies, and work within cross-functional teams to influence decisions and outcomes.

The role involves analyzing data, proposing product strategies, conducting market research, and collaborating with cross-functional teams to enhance customer products.

Platform-focused SRE role responsible for designing and operating multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), and onboarding/self-service tooling. Build reliable deployment pipelines, support deployment systems, collaborate across Platform Engineering, and participate in a 24/7 on-call rotation. Must work East Coast hours and drive automation to reduce toil.

Own application-layer risk identification and remediation across consumer products and APIs. Build and operate AppSec tooling, Harden auth/authorization and GraphQL security, run HackerOne and offensive testing, lead threat modeling and security reviews, and build AI agents to automate triage and remediation while embedding secure-by-default practices into engineering workflows.

Lead a data science team to design and deliver merchant registry and profiling ML capabilities for onboarding and monitoring. Define strategy, guide model development and validation, promote reusable data assets, partner with Product and Engineering, drive Agile delivery, hire and mentor team members, and communicate impact to senior leadership to scale production ML systems on modern cloud/data platforms.

Lead R&D on ML solutions to detect risks in agentic commerce, prototype models, engineer features, run experiments and validations, and deploy scalable data science systems using Databricks, Spark, and cloud platforms while collaborating with product and engineering teams.

Design, operate, and improve cloud security for a multi-account AWS environment and Kubernetes clusters. Build detection, prevention, and automated remediation workflows, drive zero-trust access, shift-left security in pipelines, integrate cloud security tooling, mentor engineers, and partner with infrastructure teams on identity, networking, and secrets management.

Lead full-stack design and development for Capital One's travel platform, owning architecture, implementing front-end and back-end features, improving engineering tools and practices, mentoring junior engineers, and integrating with partners like Brex while leveraging cloud services and databases.

Named technical partner for a portfolio of financial-services customers to deepen adoption of CoreWeave's AI platform. Design, train, fine-tune, evaluate, and deploy LLM and deep-learning workloads; guide AI lifecycle, troubleshoot complex production issues, drive expansion, and represent customer needs to product and engineering. Deliver architecture recommendations, demos, workshops, and executive presentations.

The Director of FP&A - Operations will partner with operations leaders to manage P&L, build financial models, and automate reporting using AI tools.

Lead the Data Science team to implement advanced ML models in AdTech, optimizing bidding strategies and enhancing decision-making through Deep Learning architectures while managing team performance and collaboration.

The Strategy Analyst develops analytical solutions to inform product strategies, marketing initiatives, and credit performance improvements. Responsibilities include data modeling, collaboration with teams, and influencing decisions based on insights.

Design and implement distributed replication features for MongoDB, focusing on Raft-based automatic failover, performance, correctness, and zero-downtime. Write production C++ code and tests (C++, JavaScript, Python), diagnose and fix bugs and performance regressions, handle customer escalations, lead cross-team projects, collaborate with product and engineering leadership, and mentor junior engineers.

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 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.

The Staff Software Engineer will own user-facing product areas, lead initiatives across frontend and backend, and mentor team members to enhance product quality and engineering standards.

Build and operate full-stack scheduling platform components: design, code, test, and ship backend microservices, APIs and front-end interfaces. Architect highly available services, scalable databases and reliable data streams, collaborate with product and design, participate in on-call rotation, and advance AI-native engineering practices.