Top Python Jobs in Toronto

Lead a data science team to build scalable data pipelines, ML models, and tooling on AWS; operationalize and analyze large structured and unstructured datasets; collaborate across teams to source data and optimize business programs; hire and develop talent while evaluating new technologies for digital banking.

Lead the design, modeling, simulation, and live tuning of the Zynga Poker in-game economy. Drive retention and monetization through data-informed economy features, A/B testing, predictive models, and cross-functional collaboration with product, analytics, and live-ops teams.

As an Applied Scientist, you will push the limits of AI/ML in home valuation, tackling diverse ML challenges and optimizing decision-making with data.

The Applied Scientist will develop quantitative models to improve pricing, demand forecasting, and risk management, collaborating with cross-functional teams to implement solutions.

Lead and deliver large, complex platform engineering programs across sensor, cloud, and research teams. Provide hands-on program leadership, drive cross-team schedules, resolve architectural and infrastructure dependencies, and escalate critical issues. Build AI-powered dashboards, automated reporting, and integrations between Jira, GitLab, monitoring and build systems to surface program risks and automate routine PM tasks. Coach distributed teams, communicate status to executives, and align engineering work with strategic objectives.

Design, build, and operate production ML models, services, and platforms for pricing, risk, and decision systems. Own end-to-end model pipelines, deployment, monitoring, and iteration. Collaborate with researchers and product to productionize prototypes, tackle data drift and sparsity, lead design reviews, and mentor teammates.

Support deployment, training, and support of internal SoC design and verification flows. Work with project engineers and methodology developers to ensure front-end and back-end flows function correctly, ramp teams, liaise with EDA vendors to resolve tooling issues, and identify efficiency improvements across engineering projects.

Lead AI-native engineering teams to design, build, test, and deploy large-scale, data-oriented, customer-facing applications using Generative AI, LLMs, and agentic patterns. Define engineering vision and AI-native SDLC, partner with product, leverage data technologies (e.g., Databricks), mentor talent, and drive 0→1 prototypes to production with strong backend (Java/Python) and frontend (React/Next.js) engineering.

Lead the development of AI and machine learning solutions at Mastercard, defining strategy and mentoring teams while ensuring compliance and enhancing consumer experiences.

The role involves building AI-powered analytics tools, proactive intelligence systems, and automating decision processes based on data-driven insights to drive business impact at Opendoor.

Senior technical leader who shapes Canada Tech strategy, drives architecture and engineering standards, mentors senior engineers, leads transformational change, and guides platform and product technical decisions to support international Card customer capabilities.

Drive post-silicon productization of bitcoin mining ASICs from bring-up to mass production. Lead characterization, test strategy, ATE program development, wafer sort and final test screening, DOE and yield optimization, data analysis across CP/FT/bench/system platforms, vendor/foundry engagement, and KPI/dashboard development to improve power, performance, yield, and product quality.

Lead and grow a small engineering team while remaining hands-on with architecture and delivery. Drive product execution, align engineering priorities with company OKRs, champion code quality and system design, and hire and develop engineers as the company scales.

Build and maintain Python-based, cloud-native data pipelines and file delivery systems on AWS. Design scalable delivery for CSV/Parquet/JSON via S3, SFTP, and data marketplaces. Implement data quality, monitoring, CI/CD, and migrate legacy feeds to cloud architecture. Contribute to web-based monitoring/configuration, documentation, reviews, and production support.

Design and maintain CI/CD pipelines and AWS infrastructure using IaC; manage containerized deployments (Docker, ECS/EKS); provide on-call incident triage and post-incident reviews; lead reliability, disaster recovery, and security efforts; implement monitoring and automation (Splunk, CloudWatch, New Relic); write automation scripts in Python/Bash; document runbooks and collaborate with global teams.

Design, build, and maintain end-to-end data pipelines in Snowflake using Medallion Architecture. Develop ETL/ingestion with Python and/or Informatica, implement Snowflake AI/ML features, manage version-controlled code (Git/Bitbucket), support CI/CD, monitor and optimize pipelines, and ensure data quality and performance across environments.

Lead architecture and implementation of a unified, cloud-native data feed platform. Design scalable ingestion, transformation, and delivery pipelines; establish DataOps, governance, monitoring, CI/CD, and performance best practices; mentor engineers and influence cross-team technical strategy.

Hands-on technical leader for backend/platform systems: design and operate distributed, reliable services, build third-party integrations, mentor engineers, drive architecture and operational excellence (monitoring, tracing, alerts), and partner with product and other teams to deliver scalable, production-grade features.

Lead analytics for Zynga Poker by running A/B tests, building ETL pipelines and dashboards, analyzing player behavior, tuning game economy, and improving fraud/bad-actor models. Collaborate with product, design, and data science teams, contribute to AI/LLM initiatives, and maintain telemetry and BI tools to inform strategic decisions that impact millions of players.

Lead and execute complex threat intelligence investigations for live game services using OSINT, internal tools, and data analysis. Produce high-quality intelligence reports, support incident response, drive automation/tooling improvements, and maintain program reporting and threat monitoring.

The Senior Technical Artist will design, develop, and support tools for artists, innovate pipelines, and solve technical issues in a collaborative environment.

Design, develop, integrate, and commission real-time hardware-in-the-loop simulation test equipment. Create electronic schematics, develop LabVIEW/CVI control software, perform V&V, troubleshoot integrations, train users, and collaborate with cross-functional engineering teams to meet project, regulatory, and safety requirements.

Develop, test, and maintain CAM automation (HyperMill) workflows, macros, and tool libraries; align CAD/design libraries to support feature recognition; coordinate between Design, Machining, IT, and suppliers; standardize machining processes and tooling templates; provide training, documentation, and shop-floor support; analyze and improve automation performance.

The role involves designing and maintaining scalable backend systems, building data pipelines, creating an intuitive reporting UI, and mentoring junior engineers in a collaborative environment.

As a Product Strategy Analyst Manager, you'll lead analysis and strategy development, manage a team, and optimize customer products using data insights and technical tools.