Top Python Jobs in Toronto

Perform deep root-cause debugging across frontend-to-backend stacks, troubleshoot and read SDK source, support enterprise customers on architecture, and build agentic automation (LLM orchestration, MCP, internal APIs) to create deterministic autonomous support paths.

Lead global corporate funding analysis, forecasting and securitization/capital issuance strategy. Partner with Treasury, capital markets and business lines to model liquidity, TLAC and maturities, produce reporting and investor marketing, recommend funding strategies, and automate forecasting using data tools to inform senior decision-making.

Operate and maintain an on-prem OpenShift platform (including Service Mesh/Istio), manage cluster lifecycle, container image build and supply-chain, run CI/CD pipelines, administer RHEL hosts and databases (CockroachDB, EDB Postgres), manage ingress/TLS and certificates, implement automation (Ansible, Bash, Python), monitor observability/alerts, and participate in incident response and change management to meet SLA/SLO targets.

Design, build, and maintain enterprise vector databases and embedding pipelines for healthcare AI/LLM applications. Implement vector indexing, semantic search, RAG architectures, and integrate vector stores with Azure AI Search, Qdrant, or Pinecone. Build scalable ingestion and embedding refresh pipelines, support agentic AI workflows, and establish governance, monitoring, and best practices for retrieval and operationalization.

Embed with cross-functional teams to map high-value workflows, design agentic or deterministic automated solutions, build production-ready tools, and run them with monitoring, evals, and continuous improvement. Balance stakeholder discovery, systems integration, full-stack development, and operational ownership to increase throughput and reduce cost.

Design, build, and maintain scalable data pipelines and enterprise AI agents using Python, FastAPI, PySpark, Kafka, and Databricks. Deploy GenAI agents with Google ADK/Flash LLMs, build data federation and Data Mesh layers (Starburst), automate microservice integrations on cloud-native platforms (OpenShift/Kubernetes) with CI/CD, and integrate agentic tools (Devin.AI, GitHub Copilot, MCP) via prompt engineering. Ensure data quality, security, and regulatory compliance while improving data engineering processes.

Lead and manage applications development teams to design, implement, and deliver high-quality, resilient payment systems. Provide technical oversight, drive architecture and code quality, manage releases and post-production support, and liaise with stakeholders. Coach engineers, govern processes (CI/CD, observability, TDD), and lead payment modernization projects within a banking payments domain.

Lead design, implementation, and management of CI/CD, container platforms, IaC, and observability. Build pipelines with Tekton and Harness, administer OpenShift/Kubernetes, automate provisioning with Terraform/Ansible, and monitor systems with Prometheus/Grafana. Collaborate with development teams, ensure resiliency/scalability/security, drive platform strategy, perform root cause analysis, and enforce compliance and quality standards.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Perform and analyze genome-wide and focused CRISPR/Cas9 screens in primary and cell-line models; generate and characterize engineered and transplantation mouse models; construct viral vectors; run molecular and cellular assays (cloning, qPCR, Westerns, flow cytometry, cell culture); analyze functional genomic/NGS data; maintain records and compliance; publish, present, contribute to grants, and mentor trainees.

Support vehicle profitability analysis by developing automated COP/CMP-I models, dashboards, and forecasts using Power BI, Excel, and data techniques (regression, scenario modeling). Translate analytics into pricing and incentive insights, partner with IT to improve data quality, and drive process automation and forecasting for budgeting and strategic initiatives.

The Software Engineer at Lyft will innovate user solutions, lead features, and collaborate with cross-functional teams to improve ride and driver experiences using Python, Golang, and AWS.

Build and deliver education-focused product experiences across backend services, integrations, automation, experimentation, and light frontend. Implement APIs, containerized deployments, CI/CD, and integrate ML/AI solutions; write well-tested production code, maintain observability, and collaborate with cross-functional teams to take features from prototype to production.

As an IT Systems Engineer, you'll manage user and device lifecycles, enhance endpoint security, and automate IT workflows, ensuring compliance and improving reliability in a remote tech environment.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform in diverse environments, ensuring scalability and security while collaborating with internal and client teams.

The Platform Engineer will build and manage scalable infrastructure for ML systems, focusing on enterprise applications in drug discovery, ensuring reliability and customer integration.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

The Mojo Compiler Engineer will design and implement features for the Mojo language within an MLIR-based compiler, optimize performance for AI systems, and enhance the developer experience.

As a GenAI Systems Engineer, you will architect scalable frameworks, optimize distributed systems, and develop APIs, enhancing AI model deployment efficiency.

Design, build, and support features for a monetization platform while ensuring reliability and performance as a senior backend engineer.

As a Senior Site Reliability Engineer, you will own AWS infrastructure, ensure reliability, and enhance deployment processes, primarily working with Kubernetes and Terraform.

The Staff Software Engineer role involves leading projects, coordinating engineers, improving processes, and representing PayPal to external partners, focusing on cloud and DevOps responsibilities.

The DevOps Engineer will manage AWS and Azure infrastructure, maintain Linux servers, support production troubleshooting, and ensure security and documentation. The role requires strong scripting and database management skills.

The Senior Software Engineer II, Machine Learning will design and deploy ML algorithms, work with consumer data, and lead data teams.

Build and ship full-stack features for North, develop autonomous agents that access sensitive enterprise data, productionize state-of-the-art models, write minimal, secure low-resource code, and collaborate with researchers to deploy performant RAG/agentic applications while prioritizing security and user experience.