Top Python Jobs in Toronto

Design, build, and operate production ML systems that generate trusted signals for ranking, retrieval, recommendations, propensity/churn/LTV, and next-best-action decisioning. Define signal/data contracts, own feature and candidate generation through serving, experimentation, monitoring, and feedback loops, and evaluate long-term business impact, trust, fairness, and compliance. Partner across product, data, modeling, risk, and compliance and apply AI/agents to accelerate engineering and operations.

As a Senior Software Engineer, you'll develop core infrastructure for multi-agent systems, designing backend services and APIs for orchestration, collaborating across teams, and driving technical decisions in a dynamic environment.

Deliver and maintain scalable, reliable full-stack solutions across front-end WYSIWYG designer experiences and back-end rendering systems. Write well-tested, reusable code, refactor to reduce technical debt, build tooling and processes, conduct empathetic code reviews, collaborate with stakeholders, mentor teammates, and drive projects from design through rollout.

Design and implement Windows sensor detection and prevention features for the Falcon platform. Research attack techniques, develop user- and kernel-mode detection logic, own features from design through release, apply secure coding and CI/CD practices, troubleshoot customer issues, and collaborate across teams to improve telemetry and protections.

Design, build, and maintain scalable data pipelines and storage (data lakes/warehouses). Integrate diverse sources, enforce data quality, security and compliance, optimize ETL/ELT, monitor pipelines, and mentor junior engineers while collaborating with data scientists, analysts, and stakeholders.

Lead architecture and scaling of finance technology across Accounting, Tax, Treasury, Procurement, and FP&A. Design data models and integrations for Oracle Fusion, build SQL/PLSQL-based integrations and web services, embed AI-assisted development, automate financial workflows, and translate accounting requirements into scalable technical designs and documentation.

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.

Pre-sales Solutions Architect who guides customers to design and build scalable, highly available systems using MongoDB Atlas. Works with sales to qualify opportunities, run technical discovery, deliver demos and proofs-of-value, advise on architecture and migrations, drive account strategy, generate demand, travel up to 25%, and mentor peers to ensure customer success.

Build and own large-scale data ingestion services and SDKs, translate business requirements into technical designs, improve performance and reliability, provide production support, and drive engineering best practices for near real-time analytics pipelines.

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.

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 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.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

Design, build, and maintain People systems automations and integrations (Workato, Workday, Greenhouse, Slack) using production-quality code. Improve CI/CD, reliability, observability, and AI-driven automation (Claude, MCP). Serve as technical lead for People Technology, partner with stakeholders, and drive scalable, maintainable automation solutions.

Lead technical strategy and deliver backend systems for search and recommendation at scale. Collaborate with PM, design, and analytics to define and execute business-impacting projects. Own operations, availability, monitoring, and on-call practices while mentoring engineers and setting code and design standards.

Lead the design, build, and support of scalable on-premise and Azure cloud data platforms, ETL/ELT, streaming and batch solutions, data lakes/warehouses, APIs and AI-enabled applications. Drive migrations, deployments, automation, performance tuning, and compliance for large-scale fintech data environments while partnering with product, analytics, architecture and engineering teams.

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.

The Senior Analyst, Portfolio Strategy will provide insights to drive business growth, manage portfolio risk, and analyze pricing and profitability.

Lead architecture and scaling of finance systems across Oracle Fusion and integrations. Drive AI-assisted development, design data models, build integrations (SQL/PLSQL, REST/SOAP), automate financial workflows, and translate accounting requirements into scalable technical solutions while partnering with business and data teams.

Design and maintain data architecture and pipelines to support compliance and risk teams. Build and optimize data models, standardize metrics, and create data dictionaries. Implement data quality, lineage monitoring, AI-driven agents for false-positive reduction and automation, and participate in on-call rotations to ensure SLAs are met.

Design, build, and operate high-throughput, fault-tolerant ledger and settlement systems of record. Develop durable ledgering APIs, settlement orchestration, and treasury automation. Ensure data contract integrity for downstream finance, run production systems to SLOs, debug multi-layer issues, lead and mentor engineers, and use AI tooling to reduce operational toil.

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.

Design and implement CIAM backend services for registration, authentication, and account management across B2C and B2B platforms, utilizing security standards and automation practices.

Entry-level Strategy Analyst in Capital One CanadaWork with cross-functional teams to build analytic business cases, model credit and product strategies, develop marketing and product insights, and measure outcomes. Use SQL, Python notebooks, spreadsheets, and visualization tools to analyze data, present recommendations to leadership, and support credit, fraud, and product initiatives. Participate in a year-long analyst development program.

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.