Top Python Jobs in Toronto

The Senior Forward Deployed Engineer will deliver technical solutions using AI, engage with customers, and lead project lifecycles while mentoring junior engineers.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

As a Senior Backend Engineer, you will design and implement Vendia's distributed AI data platform, ensuring scalability and operational excellence.

As a Delta Engineer, you will work directly with customers to diagnose problems, architect solutions, and drive adoption of the Cognition platform.

Lead Shopify projects, oversee development and integrations, guide engineers and ensure high-quality execution for clients' commerce needs.

The role involves owning the localization framework, configuring tools, automating workflows, developing data pipelines, and collaborating with teams for product localization.

As a Software Engineer - New Grad, you will build and ship production features across the stack, design scalable systems, and learn in a fast-paced environment.

Design and build AI-driven cybersecurity products, collaborate with stakeholders, mentor engineers, and enhance infrastructure efficiency.

The Senior Data Scientist will develop business analytics functions, manage data projects, conduct statistical analysis, and collaborate with stakeholders on predictive models and insights.

The Energy Analyst will enhance data systems for market data utilization, collaborating with engineers to improve data handling and quality assurance processes, driven by a passion for clean energy.

The NICE CX-One Lead Engineer will design, implement, and optimize NICE-based solutions for customer experience, managing stakeholders, and providing SME support.

This role involves designing, building, and optimizing backend applications using AWS and Amazon Connect, focusing on APIs, microservices, and cloud services.

Lead the redesign of the Identity and Access Management system, focusing on scalability, user experience, and technical leadership while promoting collaboration and automation.

As a Site Reliability Engineer at GoDaddy, you'll automate and maintain storage infrastructure, focusing on Ceph, while ensuring system reliability and performance. You'll develop tools, monitor systems, and enhance operations.

As a Data Engineer at Northbeam, you will develop and maintain scalable data pipelines, optimize data ingestion, and provide technical leadership in a cross-functional team.

Lead the transformation of Developer Operations into a modern Developer Experience platform, focusing on CI/CD, cloud foundations, AI integration, and team coaching to ensure operational excellence and reliability.

Join the Redis Data Integration team to design and implement a high-performance data streaming pipeline that mirrors and transforms relational and non-relational data into Redis Enterprise in near real-time. Lead architecture and delivery of scalable, customer-facing systems, mentor junior engineers, and work with cloud and on-prem deployments using Kubernetes, Linux, and cloud provider tooling for deployment, monitoring, and observability.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

Lead end-to-end modeling initiatives to improve battery auto-bidding optimization. Implement and optimize dispatch models in code, improve solver performance and observability, debug production issues, and work cross-functionally to ensure interpretable, reliable decisions for customers.

Design, deploy, and automate secure, scalable AWS infrastructure using Terraform, Kubernetes, and CI/CD. Implement observability, automated remediation, and DevSecOps practices. Integrate AI-assisted tooling, participate in incident response, and communicate infrastructure risks to stakeholders.

Drive technical success for strategic opportunities by designing and customizing Geotab solutions, leading demos and pilots, supporting partners, documenting engagements, mentoring engineers, and providing product feedback to accelerate revenue and ensure successful deployments.

Build and maintain scalable, low-latency APIs and high-performance data pipelines for geospatial customer telemetry. Improve event-driven architecture, troubleshoot telemetry/reporting issues, document APIs, write automated tests, and collaborate with cross-functional teams to deliver analytics and operational insights.

Design and lead end-to-end AI/ML and GenAI architectures (data pipelines, training, inference, MLOps). Advise clients, integrate LLMs, build RAG systems, benchmark platforms, mentor teams, ensure responsible AI, and align ML strategy with business goals.

Design and implement agentic AI systems, ship full-stack features, construct ML pipelines (ingestion, embeddings, RAG, vector search, graph DB), evaluate and improve LLM agent reasoning, prototype LLMs, and build scalable infrastructure for long-running multi-step agents while working directly with customers and leadership.

Lead integration strategy and deliver production-ready EHR and partner integrations. Work with customers to gather requirements, collaborate with AI/ML teams to bridge applied GenAI systems, and ship SDKs, proxies, and automation to improve reliability and reusability.