Top Python Jobs in Toronto

As a Senior QA Engineer, you will design and maintain automated test infrastructure, perform system-level testing, and coach peers in a cross-functional agile team.

Lead architecture, design, and delivery of large-scale, high-availability systems across cloud and mobile. Advance AI enablement and agentic workflows, own full components end-to-end, debug stack-wide issues, mentor engineers, and drive cross-team technical strategy and best practices.

As a Senior Engineering Manager in Data Engineering, you'll lead a team to build a Data Platform, improve engineering practices, and ensure project delivery through effective collaboration and system architecture design.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

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

As a Senior Data Scientist, you will design, build, and operate machine learning and GenAI systems, influence technical direction, and mentor junior data scientists, focusing on production ML systems.

Lead high-impact AI initiatives, develop ML products, collaborate with cross-functional teams, and mentor data scientists in a dynamic environment.

As a Principal Software Engineer, you will architect scalable backend systems, lead complex technical initiatives, establish engineering standards, and mentor engineering teams.

Design and maintain complex software applications, lead architectural decisions, collaborate with teams, and ensure code quality through reviews and clean coding practices.

The analyst will provide risk insights, develop risk analytics programs, support investment risk reporting, and build relationships with investment teams.

Seeking a Full Stack Engineer to design, build, and scale consumer-facing applications for Goldin, focusing on cloud-native architectures, AWS, and APIs while collaborating with cross-functional teams.

The Design Verification Engineer will rigorously verify designs using UVM techniques, collaborating closely with digital and analog design experts, while defining DV methodologies and ensuring quality tapeouts.

Design, build, and operate scalable Generative AI systems and RAG pipelines; own end-to-end AI application lifecycle on Databricks and AKS; integrate LLMs with data sources and APIs; implement LLMOps, evaluation, observability, and production monitoring; mentor engineers and influence product roadmaps.

Design and build the organization's first ML platform: define architecture and roadmap, create self-service deployment frameworks, enable model registry, feature retrieval, inference routing, observability, and safe rollout workflows; mentor engineers and partner with Data Science to drive platform adoption and developer productivity.

Founding Staff Data Scientist to build decision science from the ground up: design and deliver forecasting, optimization, experimentation, personalization, and recommendation systems; establish modeling standards, validation and deployment playbooks; mentor data scientists and integrate reusable decision workflows with the ML platform.

The Distillation Lead will define and implement strategies for model distillation and compression, collaborating with various teams to deliver efficient models for real-time systems and simulations.

Develop and maintain production-quality software for self-driving technology. Collaborate with teams, lead discussions, and mentor engineers.

Manage development, validation, and documentation of Canadian consumer credit risk reports. Maintain reporting framework, improve automation, design regular and ad-hoc reports for management and regulators, ensure data governance and controls, support audits, advise business stakeholders, and coordinate databases and analytics work.

Lead analysis of customer, digital, and transportation data to build targeting, pricing, and optimization models. Design and run customer analytics (price elasticity, churn, LTV, segmentation), mentor junior data scientists, lead stakeholder projects, and support data storage planning and cross-department representation to drive actionable, data-driven business decisions.

Design, build, and operate secure, highly automated AWS cloud infrastructure using IaC and CI/CD. Troubleshoot production issues, improve observability and automation (including AI-assisted tools), collaborate with stakeholders, mentor junior staff, participate in on-call rotation, and drive platform innovation and governance.

Design, deploy, and operate secure, automated cloud infrastructure (primarily AWS) and networking. Troubleshoot production issues, build IaC with Terraform/Azure DevOps, drive automation using AI tools, optimize performance and security, mentor junior engineers, participate in on-call rotation, and collaborate with cross-functional teams to deliver reliable cloud platform solutions.

As a Senior Machine Learning Engineer, you will design scalable AI systems, work with large datasets, write maintainable code, and continuously learn with a team of AI developers.

Build and scale production AI systems, APIs, data pipelines, retrieval systems, and model-serving infrastructure for consumer and clinician-facing health products. Integrate and fine-tune LLMs and other models, manage AI feature lifecycles from prototyping through monitoring, and ensure reliability and observability. Collaborate with engineering, product, and science teams. More senior candidates may lead AI architecture, roadmap development, and mentoring.

Build and evolve product features across backend and frontend technologies. Collaborate with Product and Design teams to improve user experiences and take ownership of features in production.

The Product Engineer will design and build features using Python, TypeScript, and React, ensuring high-quality outcomes through customer engagement and end-to-end ownership of projects.