Top Python Jobs in Toronto

Lead design and validation of analog circuits for high-speed SerDes applications, guiding junior engineers, and collaborating across functions. Requires extensive experience in analog/mixed-signal design.

Design and develop analog circuits for high-speed SerDes applications, optimizing performance, testing designs, and mentoring engineers. Collaborate across teams to ensure designs meet specifications and drive technical direction.

The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

This role involves ensuring customer success by providing technical expertise, driving onboarding, managing customer relationships, and optimizing product adoption, while addressing challenges and mentoring team members.

Develop and deliver user-friendly software for B2B SaaS products. Collaborate with teams on both front-end and back-end development.

The Machine Learning Engineer will develop and deploy ML models, leveraging analytical skills to automate processes and reveal data value.

As a Senior Software Engineer, you will design and deliver user-friendly software, manage APIs, and create scalable microservice architectures.

As an AI-Driven Full Stack Engineer, you'll design and implement features for an AI-powered web application, working across the stack and integrating AI models to transform insurance processes.

As a Junior Software Engineer, you will develop full stack features for an AI-powered web application, integrating AI models and collaborating with senior engineers. Responsibilities include building backend services and creating user experiences while participating in design discussions and code reviews.

As a Senior Software Engineer, you will design and implement backend components for a distributed vector database, optimize performance, and collaborate on real-time analytics systems.

The Product Analyst will identify growth opportunities, evaluate product changes through A/B testing, build dashboards, and communicate insights for data-driven decisions.

Develop and enhance a Python optimization service to improve scheduling capabilities, partner with PM and design teams, iterate based on user feedback, and integrate scheduling intelligence into the platform.

The Machine Learning Engineer will manage the ML lifecycle, develop models, ensure performance, and collaborate with a diverse team to build AI-first products.

The role involves end-to-end machine learning lifecycle management, including data processing, model development, rigorous testing, and production deployment, focusing on large quantitative models for AI-first products.

The Senior Software Engineer will develop and enhance ClickHouse's Python connector and SDK ecosystem, focusing on integration with orchestration and transformation tools, while engaging with the open-source community and driving AI/ML integration strategies.

As a Search Engineer in Technical Support, you'll resolve technical issues, assist customers with Lucidworks products, and document solutions while collaborating with internal teams.

Join Hitachi Energy's Quality Assurance team to validate software for real-time energy markets, focusing on test strategies and data management.

Prepare and deliver credit risk reports and variance analysis, monitor policy limits, support regulatory and enterprise risk initiatives, respond to ad-hoc requests, and collaborate with stakeholders across Risk, Finance, and Business teams.

Join the Haibe-Kains Lab to develop multimodal drug foundation models and privacy-preserving, scalable infrastructure for translational cancer research. Design transfer learning and federated analysis workflows, harmonize clinical and multi-omics data, evaluate DNA/RNA signatures across treatments, and collaborate with clinicians, computational biologists, and engineers to translate AI-driven biomarker and drug-discovery methods.

Design, build, and maintain Databricks/Spark ETL pipelines and Bronze-Silver-Gold architectures; implement event-driven streaming with Pub/Sub and Protocol Buffers; prepare datasets for LLM fine-tuning and embeddings; integrate third-party sources (Shopify, Klaviyo); implement attribution, CLV, and analytics models; ensure data quality, monitoring, and idempotent retry-safe pipelines.

Lead design and implementation of production AI/LLM systems and scalable FastAPI backends, implement embedding-based semantic search with PostgreSQL/pgvector, build WebSocket real-time collaboration, own GCP/Kubernetes infrastructure (KEDA, Terraform), and mentor engineers while driving architectural decisions and feature rollouts.

Lead end-to-end delivery and enhancement of GED/Synthetic Prime trading and valuation systems. Design integrations with Sophis/SwapOne and in-house services, build risk and P&L metrics for vanilla and exotic equity derivatives, improve compute performance (AKS, Ray, GPU), support real-time valuation microservices, and provide L3 SME support for pricing, P&L and risk issues.

Design, build, test, and maintain ETL and data transformation pipelines for reconciliation workflows. Work in an agile scrum team to develop cloud-based solutions (AWS/Azure), write unit and automation tests, participate in code reviews, triage production issues, and support migration to modern data platforms (Snowflake, Kubernetes, Kafka, ETL tools).