Top Python Jobs in Toronto

Design, deploy, and operate large-scale distributed systems. Operate Kubernetes clusters and Istio, automate workflows with Go/Python/shell, build observability with Prometheus/Grafana/Loki, troubleshoot networking/storage/performance, support AI/ML infrastructure, and participate in on-call rotations and postmortems to improve reliability.

Lead data-driven underwriting improvements by analyzing claims, risk signals, and underwriting data; build statistical and ML models for cyber risk assessment, pricing, and automation; produce dashboards and reports; collaborate with actuarial, product, and engineering teams; mentor teammates and lead cross-functional initiatives to optimize underwriting and risk selection.

Design, build, and operate ML infrastructure powering data, compute, artifacts, and orchestration across cloud and on-prem. Own backend services, storage, observability, security, and developer tools; collaborate with cloud/compute providers and lead reliability and scaling efforts.

Lead design and production deployment of an agentic AI platform for a cloud-native EHS/ESG SaaS. Build multi-agent state machines, scalable RAG pipelines, secure multi-tenant architectures, automated PII redaction, and observability for LLM routing, token cost control, and real-world latency/robustness. Collaborate with frontend teams to deliver dynamic widget-rendering APIs and serverless ingestion pipelines.

Design, build, and maintain scalable Databricks-based ETL/ELT pipelines and data models optimized for AI/ML. Manage orchestration, data quality, governance, and CI/CD (ADO → GitHub) while collaborating with cross-functional teams in Agile delivery.

As a Software Engineering Intern, you'll design, build, test, and deploy software features that automate and optimize metal processing in factories, directly impacting production systems.

As a Database Reliability Engineer, you'll design and optimize PostgreSQL database systems, ensure high availability, and automate management tasks while collaborating with multiple teams.

Design and build AI-powered internal accounting tools and integrations. Own architecture, security, and code quality; translate accounting processes into production-grade backend systems; collaborate with product and accounting staff; document systems and scale tools responsibly.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.

The Senior Data Engineer will scale and evolve the data platform, develop ETL/ELT pipelines, establish best practices, and optimize systems for performance while collaborating with various teams.

Lead and develop a team to govern and validate clinical data builds, vendor deliverables, and data integrations. Implement and maintain CDASH/SDTM/ADaM standards, validation libraries, and submission-ready processes. Oversee data ingestion into the Clinical Data Warehouse, drive automation (SAS, Python, AI), maintain SOPs/QMS, and partner with Biostatistics, Data Management, Standards, and CROs to ensure high-quality, analysis-ready datasets.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

The VP of Software Engineering leads the engineering organization, driving software development, scaling teams, and ensuring compliance with standards while collaborating across functions to support product and customer success.

Lead optimization and scaling of Snowflake architecture, build resilient ELT/ETL and MLOps pipelines, implement data observability, automate workflows with AI-assisted tools, and design enterprise semantic models to support analytics and commercial data products.

Build and maintain pipelines and web scrapers to create a large case-law dataset, implement metadata extraction (citations, overruling/appeals), ensure scraper reliability, optimize core utilities, expose data via APIs/websockets, and benchmark/evaluate tasks.

Lead and grow an engineering team that owns NerdWallet's platform systems (Content Platform, CMS, Product Data Platform). Partner with Product and cross-functional teams to prioritize roadmap, ensure technical quality, drive architecture and modernization, enforce engineering best practices, manage delivery and availability, and mentor engineers while balancing short-term delivery with long-term maintainability, security, and compliance.

As a Staff Applied AI Engineer at Invoca, you'll architect and deploy AI systems, engineer advanced RAG systems, contribute to AI evaluations, optimize prompts, and ensure scalable and reliable AI model serving.

As the first Data Engineer, you will architect the Snowflake governed query layer, enable AI-driven tools, and define data access standards for various departments, significantly shaping Knak's data infrastructure and analytics capabilities.

Build and scale RL environments and evaluation harnesses for long-horizon legal reasoning. Own pipelines converting court filings into contamination-free benchmarks and RL tasks, integrate with partner model APIs, and collaborate with attorneys to create scorable task formats.

The Full Stack Engineer will develop and maintain scalable web applications, design system architecture, optimize performance, and collaborate with teams for code reviews in a hybrid work environment.

Lead design and deployment of production-grade AI solutions, build multi-agent systems and cloud-native ML infrastructure, apply rigorous statistical evaluation, implement generative and predictive models, champion MLOps and data pipeline best practices, and collaborate with clients to translate business needs into technical solutions.

Manage engineering teams focused on platform services and data integration, deliver high-quality software, improve processes, and recruit talent.

You will design and build LLM-powered features, integrate AI capabilities into workflows, and contribute to internal practices at a healthcare-focused company.

Lead AI technical strategy, architect AI systems, set safety standards, mentor engineers, and evaluate AI models at Midi Health, a healthcare-focused company.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.