Top Python Jobs in Toronto

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

Lead technical SEO for content marketing: conduct technical audits, improve search and AI visibility (GEO/AEO), run SEO reporting and recommendations, and build AI-assisted workflows for content production and analysis.

Lead people analytics by building end-to-end models and production data pipelines, designing dimensional models, and creating LLM/NLP solutions. Translate statistical outputs into executive-ready insights, develop automated dbt/Snowflake workflows and dashboards, partner with HR systems owners and the enterprise data office, and enforce data governance and privacy for People data to support strategic workforce decisions.

As a Quality Engineer at StackAdapt, you will develop automated tests, collaborate with teams on CI/CD deployment, and enhance software quality across various testing types.

As a Backend Engineer, you will architect, build, and deploy systems for our data science platform, collaborating with a cross-functional team to enhance machine learning practices.

Design and optimize carrier networking solutions, support RFP/RFQ responses, provide field support for planning and deployment, evaluate vendor options, perform economic analysis, build tools for sales engineering, and collaborate with cross-functional teams to ensure optimal network architecture and roadmap impact assessment.

The PIC Architect is responsible for designing advanced silicon photonics integrated circuits, managing PIC development, and coordinating with cross-functional teams to optimize performance and manufacturing processes.

Lead and own major components of DuckDuckGo's privacy technology using Go, Node.js, Python, and Perl. Design and implement privacy features, improve search and AI features without compromising privacy, build tracker-detection features, participate in privacy reviews and audits, and mentor engineers over time.

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

Own and architect the semantic layer and metrics/metadata for the data platform (Databricks/GCP). Build AI-ready models, enforce modeling and documentation standards, implement observability/testing for pipelines, enable self-serve analytics, and collaborate across product, clinical, and business teams to translate questions into reliable data solutions.

Lead full‑stack development of the imaging web platform: architect and build ASP.NET Core services and Vue frontends, design secure APIs integrating EMRs and AI, own testing, CI/CD, and Azure deployments, mentor engineers, and collaborate with product, design, and clinical teams to deliver performant, reliable screening experiences.

As a Backend Software Engineer, you'll develop critical backend systems focusing on APIs, data processing, and infrastructure while ensuring high-quality service delivery and robust architecture.

Lead design and delivery of full-stack imaging features, architect high-performance ASP.NET Core services, build Vue frontends, integrate APIs with EMRs and imaging partners, mentor engineers, enforce automated testing, CI/CD and observability, and drive technical roadmap in an Agile team.

Lead development of backend systems and integrations to ingest and process large-scale data, design secure multi-tenant SaaS architectures, own APIs and platform work, mentor engineers, author technical proposals, and troubleshoot production issues to minimize downtime.

Lead structuring and execution of structured financings (RMBS, ABS, master trust, asset sales), develop a secondary trading platform, manage interest-rate and credit risk, build cash-flow models and analytics (Intex/Excel), execute go-to-market financing strategies, and provide investor, rating agency, and capital provider support.

Lead end-to-end onboarding for strategic, complex customers—transforming and migrating investment data, advising on data structure, resolving escalations, improving processes and tools, mentoring team members, and building reusable AI-supported onboarding workflows.

Lead design and delivery of Generative AI solutions using Amazon Bedrock and orchestration frameworks. Build CI/CD pipelines, manage full-stack AWS infrastructure, ensure observability and AI governance, collaborate with stakeholders, apply Agile practices, mentor engineers, and integrate new AI innovations into production systems.

Design, build, and optimize scalable AI-enabled application features and services. Integrate ML models and generative AI, ensure secure and test-driven implementations, troubleshoot AI performance, mentor engineers, and drive AI architecture, CI/CD, and best practices across teams.

Develop and maintain embedded C/C++ firmware for analog and Ethernet connectivity devices, perform low-level hardware bring-up and debugging, write Python test automation, collaborate on validation and CI tooling, participate in code reviews and project tracking, and characterize firmware behavior across operating conditions.

Lead end-to-end AI solutions as a forward-deployed engineer: scope, design, and deploy ML/LLM systems; partner with clients and stakeholders; build infrastructure, data pipelines, and reusable platform components; mentor engineers; own projects from discovery through production and provide on-call support.

Configure and maintain legal technology platforms, build integrations and automated workflows, develop AI-assisted tools and dashboards, analyze operational data, and drive process improvements across the legal function while collaborating with IT, Product, and AI teams.

Build and own end-to-end fullstack features for a marketing analytics dashboard. Lead technical direction, collaborate with product and customer teams, optimize frontend performance, create and maintain APIs, ensure reliability and scalability, and mentor other engineers.

The Staff Data Scientist will own the analytical strategy for Firefox, driving data-informed decisions through measurement frameworks, experiments, and user growth analysis, while mentoring other data scientists.

The Staff Data Scientist will lead analytical strategies for Firefox, focusing on product growth, measurement frameworks, and mentoring data scientists while guiding data-driven decisions.

Develop scalable front-end and back-end features for a consumer-facing 3D/AR product using computer vision. Collaborate with product and design, own systems lifecycle, ensure performance and quality, unblock partners, and continuously learn and improve.