Top Python Jobs in Toronto

Build, improve, and deploy fraud and loss detection models using supervised and unsupervised ML, causal inference, optimization, and experimentation. Partner with engineering and operations to productionize models, run experiments, and surface insights to shape fraud strategy and reduce financial crime.

Design and build high-quality margin and collateral software solutions across the full development lifecycle. Collaborate with product and users, implement RESTful APIs, apply TDD and clean-code practices, and work in a fast-paced, global engineering environment using Java/React/Python and SQL.

Own and extend the company data platform: model business logic in dbt on BigQuery, maintain pipelines and Airflow orchestration, ensure data quality and cost control, serve metrics via Hasura/Metabase, and deliver documented, tested marts and KPIs for leadership, marketing, and operations.

Design, build, test, and deliver scalable machine-learning and NLP systems and large-scale data pipelines. Integrate ML models into production, write maintainable tested code, collaborate cross-functionally, and drive research-to-product development in an agile environment.

Build and maintain scalable data pipelines, dbt models, and warehouse infrastructure to deliver reliable data for analytics and BI. Collaborate with cross-functional teams to enforce data quality, documentation, and governance; monitor pipeline health, investigate and resolve issues, and support data migration and automation efforts.

Design, build, and maintain core data pipelines and models for Lyft's Safety and Customer Care platform. Scale processing, tune Spark/SQL/MapReduce jobs, implement data quality systems, enable self-service ETL tooling, and collaborate with product, engineering, and analytics teams to deliver reliable reporting and insights.

Lead a business analytics team to deliver data-driven insights, KPIs, dashboards and AI-enabled solutions. Partner with stakeholders to define strategy, automate reporting, prototype AI use cases, and build scalable analytics products while ensuring data quality and governance.

Design, deploy, and maintain cloud-based SaaS environments with Infrastructure as Code, CI/CD pipelines, automation scripting, monitoring, incident management, and security/compliance. Collaborate with architects, developers, and clients to run PoCs, streamline releases, conduct DR/VAPT exercises, produce operational metrics, and mentor junior engineers to ensure high availability and reliable service delivery.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

Hands-on IT Systems Engineer responsible for endpoint management, identity and access administration, cloud and network support, infrastructure-as-code, compliance (SOC2/FedRAMP/CMMC), automation, and documentation. Own device lifecycle, IdP provisioning, VPN/segmentation, Terraform IaC, audit responses, and cross-functional IT initiatives to scale secure corporate operations.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.

Design, build, and deploy AI-enhanced SIEM/SOAR detections, automations, and analytics. Integrate telemetry and security tools, develop AI/ML threat models and UEBA, optimize pipelines, and support SOC operations with automated playbooks and enriched alerting.

As a Customer Engineer, you will debug issues, optimize queries, assist customers in Slack, and ensure customer outcomes while communicating effectively.

Design and own end-to-end data quality systems for managed AI data studies: define rubrics, sampling plans, automated checks, launch gates, drift detection, dashboards, and calibration. Investigate integrity issues, run root-cause analysis, build automation in Python/SQL, and partner with Product, Engineering, and Operations to embed quality controls, train reviewers, and scale repeatable quality playbooks across programs.

As a Guidewire Rating Developer, you'll design and maintain rating logic within Guidewire PolicyCenter, collaborate with teams on integration and improvements, and participate in code reviews and QA support.

The role involves complex analyses in heat transfer and thermodynamics, preparing test plans, documenting results, and updating engineering practices for aircraft design and icing issues.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

The Software Engineer will design and implement systems across the stack, focusing on AI-native engineering principles, distributed systems, and high-performance data processing.

Build and scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

The GTM Engineer will enhance and manage enrichment infrastructure, scoring pipelines, and event tooling while writing production code and ensuring data accuracy within GTM operations.

Lead and grow a Detection engineering team building tools, applications, and infrastructure for fraud and abuse detection. Collaborate with engineers, scientists, and stakeholders to design, implement, and review scalable systems and features, mentor engineers, and contribute to code and architecture to improve detection capabilities.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

Build and maintain end-to-end product features across the stack (AWS, Python, Postgres, React, HTML/CSS). Collaborate with product and design, participate in design meetings, automate processes, advocate best practices, and deliver modular, reliable, and extensible solutions.

As a Software Engineer for Native Apps, you will drive initiatives across product areas, collaborate with teams, and build scalable features. Deep backend experience is required.