Top Python Jobs in Toronto

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 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 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 Senior Software Engineer will design, build, and maintain solutions for transit agencies, focusing on IoT devices and cloud services, ensuring reliable communication and device management.

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.

As a Site Reliability Engineer, you'll ensure robotics system reliability, build telemetry integration, and develop tools for diagnostics and automation, collaborating with engineering teams for enhanced production reliability.

Design and build authentication, authorization, and audit platform services (RBAC/ReBAC, token issuance, session handling), implement SAML/SCIM/OIDC/OAuth2/MFA flows, ship SDKs and APIs, operate distributed systems at scale, build audit telemetry, and support migrations and on-call production reliability.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

The Senior Python Engineer will design and implement scalable microservices and REST APIs, mentor junior engineers, and shape technical strategy for AI-powered cybersecurity solutions.

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.

As a UI/UX Designer, you will create innovative product design experiences using Figma, collaborate with cross-functional teams, and refine designs based on data-driven insights to enhance user experience.

Build and maintain production-scale infrastructure and automation: CI/CD, release automation, testing environments, monitoring and incident response. Improve scalability, tooling, and developer workflows; collaborate with engineers and QA and mentor peers to raise engineering infrastructure quality.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

Design and deploy scalable data science and generative AI solutions: acquire and ETL data from S3/RedShift/Spark, analyze data quality, build/validate models (ML, NLP, networks), deploy models to production, and mentor teams while collaborating with stakeholders and engineering.

Design, develop, and maintain embedded firmware for optical networking products. Implement new features, resolve legacy bugs, collaborate with hardware, validation, and test teams, and ensure accurate firmware documentation. Coach junior engineers, lead code reviews, support pre/post sales and field engineers, and apply Agile/CI/CD/DevOps practices for product delivery.

Support the Financial Data product by translating roadmap goals into engineering requirements, creating mockups and business logic, querying PostgreSQL/Snowflake/Athena for data insights, performing data validation and QA, documenting product features, coordinating cross-team prioritization, and contributing to release communications.

Build production privacy tooling and automation that protect personal data across cloud products. Develop AI/LLM-assisted workflows for privacy reviews, data subject rights, telemetry classification, retention/deletion, and integrate privacy controls into CI/CD, APIs, data platforms and engineering workflows. Ship production code, tests, monitoring, and collaborate with Security, Product, Data, and Legal.

Design, build, and scale backend services and APIs (checkout, payments, scheduling, accounts) using Python, FastAPI, and PostgreSQL. Integrate third-party platforms, ensure resiliency and observability with Datadog, optimize performance, write automated tests, and mentor engineers while partnering with Product and Design to deliver customer-facing features.

Lead development of digital pathology AI models using whole-slide image data to predict clinical outcomes and morphologic features. Drive dataset selection and annotation, coordinate and mentor junior scientists, partner with bioinformatics, statistics, and clinical experts, produce analyses and visualizations for publication, and manage cross-team project execution to build diagnostic products.

Design, build, and operate a cloud-native data platform and ML infrastructure at scale. Own end-to-end pipelines from CDC to feature stores, model training/serving, monitoring, and data product SLAs. Apply distributed systems and MLOps practices, leverage LLMs/agentic systems, and translate technical issues to business impact.

Lead client onboarding and integrations for fraud and compliance products. Manage implementation projects, design scalable API-based solutions, own API/SDK documentation, support clients end-to-end, lead an integrations team, and provide product feedback to stakeholders.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Drive product and performance analytics for mobile app user acquisition: define core metrics, analyze campaign and product trends, build dashboards and data pipelines, support experiments and ML teams, automate reporting (including AI-powered workflows), and communicate findings and recommendations to stakeholders.