Top Python Jobs in Toronto

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.

Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.

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 end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

Lead development and production deployment of AML machine learning models on large-scale payments data. Own end-to-end problem framing, prototyping, model performance, explainability, and scalability. Collaborate with engineering and product teams to deploy and maintain models, produce clear documentation, and ensure regulatory, privacy, and security compliance.

The Data Engineer will design and maintain ETL/ELT pipelines using various tools, support data infrastructure in cloud environments, and collaborate with BI teams for reporting and analytics.

The Software Engineer II will develop APIs, collaborate with teams on projects, ensure system operations, and contribute to team growth.

The Staff Software Engineer will shape technical direction, build developer platforms, and design AI agents, enhancing developer productivity and collaboration across teams.

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

Design, build, and operate scalable data ingestion, replication, and lakehouse infrastructure to move petabytes of data into a Delta Lake on S3. Improve reliability, observability, security, and developer experience for Spark/Databricks processing. Develop internal libraries and tooling (Go/Python), collaborate with cross-functional teams, and help shape long-term data platform and AI-ready infrastructure.

Design and build a centralized reliability platform for production systems, integrating distributed-systems engineering with AI-assisted tools. Implement AI agents for incident triage, log/trace summarization, and developer-facing APIs. Own projects end-to-end and collaborate with product, infra, data, and SRE teams to iterate and improve system health and debuggability.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.