Top Python Jobs in Toronto

Designs, operates, and scales multi-region AWS infrastructure and Kubernetes clusters for large-scale autonomous-system simulation workloads. Responsibilities include Terraform infrastructure, networking, GitOps deployments, incident response, observability, IAM governance, security and compliance support, CI/CD improvements, and developer tooling. The role also supports GPU, batch, and Windows workloads on Kubernetes while driving reliability and cost optimization across production systems.

Build and scale the application security program by integrating SAST, DAST, and SCA tooling into CI/CD pipelines; define Secure SDLC processes and threat modeling practices; manage bug bounty triage and metrics; conduct Java and Python code reviews; deliver secure coding training; develop security champions; and support vulnerability disclosures and security communications.

Own and improve infrastructure for a deploy-anywhere AI platform across AWS, GCP, and on-premises environments. Build Terraform and Helm infrastructure, manage Kubernetes clusters, CI/CD pipelines, GitOps workflows, observability, and ML inference workloads. Contribute to backend services in Java and Python, support enterprise deployments, improve reliability and scalability, and participate in on-call operations.

Lead the architecture, design, and implementation of scalable, low-latency backend services and REST APIs using Python, Flask, and SQLAlchemy. Establish API standards, optimize databases, implement authentication and observability, and design fault-tolerant distributed systems. Lead technical reviews, mentor engineers, and collaborate across teams on API contracts and integration workflows. The role also requires expertise in security, CI/CD, cloud platforms, containerization, testing, event-driven architectures, and emerging AI tooling.

Own end-to-end AI workflows, designing and operating agentic and LLM-based systems in production. Build reliable pipelines with structured outputs, validation, fallbacks, evaluations, observability, and audit trails. Integrate AI services with backend systems while managing cost, latency, data isolation, and regulated-finance requirements. Establish engineering patterns, review system designs, and mentor teams on effective use of coding agents and AI tools.

Designs, maintains, and automates resilient cloud infrastructure supporting Blue J’s generative AI platform. Responsibilities include infrastructure as code, Kubernetes and CI/CD management, monitoring, alerting, logging, data pipeline support, security and reliability improvements, incident prevention, cross-functional collaboration, and on-call participation.

Lead strategy and analytics initiatives that drive business growth, profitability, credit performance, and customer outcomes. Manage and develop analysts, build product, marketing, and credit strategies, conduct quantitative analysis and modeling, test hypotheses, and deliver recommendations to senior leaders. Partner cross-functionally with data science, engineering, process management, and marketing teams to execute strategies from concept through market delivery.

Creates production-quality AI-generated images and video sequences for advertising, visual development, previs, IP development, and final shots. Builds ComfyUI workflows, trains LoRAs, evaluates generative models, maintains visual consistency, and delivers compositing-ready outputs. Collaborates with art direction, VFX, 3D, real-time, and production teams while documenting workflows, managing compute usage, respecting licensing and consent requirements, and training other artists.

Design, implement, verify, and maintain safety-related embedded C/C++ firmware for vehicle control ECUs. Responsibilities include real-time software, CAN and J1939 communications, diagnostics, I/O control, hardware-in-the-loop testing, CI/CD automation, embedded Linux connectivity, formal requirements traceability, code reviews, and field commissioning. The role requires extensive microcontroller, hardware debugging, safety coding standards, and vehicle network experience.

Lead the architecture, design, and development of secure, cloud-ready software platforms and configuration tools for transmission and distribution systems. Integrate IEC 61850 workflows, utility systems, protection and control devices, and grid automation capabilities. Guide cross-functional architecture, software lifecycle management, cybersecurity, technology roadmaps, customer engagements, and engineering teams. Promote reusable platforms, AI-assisted engineering, interoperability, and technical innovation through mentoring, publications, patents, and industry participation.

Own internal IT operations, including employee onboarding and offboarding, device configuration, troubleshooting, SaaS and identity administration, hardware inventory, office technology, endpoint compliance, access reviews, and SOC 2 support. Build automations for SaaS provisioning, hardware lifecycle management, and IT workflows while improving documentation, security practices, and employee productivity.

Design, build, operate, and improve production data pipelines using Airflow, BigQuery, and GCP. Develop scalable data models, backend APIs, dashboards, and AI-powered workflows that transform documents into structured customer-facing intelligence. Implement LLM and agentic systems with retrieval, tool calling, evaluation, quality controls, and production safeguards. Collaborate with analysts, product teams, and stakeholders while independently solving ambiguous engineering problems.

Supports Odoo ERP master data management, data cleansing, validation, imports, sales order entry, and product record creation. Reviews engineering documents, develops structured datasets, documents procedures, and collaborates with engineering, operations, customer service, and business teams. The role also contributes to process improvement through AI tools, automation, scripting, and workflow enhancements.

Leads and mentors a data science team developing machine learning, AI, predictive, prescriptive, and generative AI solutions. Partners with business stakeholders to prioritize use cases, oversees model development and production deployment, and ensures governance, monitoring, documentation, explainability, fairness, and responsible AI standards. The role also communicates analytical insights, evaluates emerging technologies, manages team performance and resources, and supports enterprise risk, regulatory, and strategic initiatives.

Leads a data science organization delivering predictive, prescriptive, and generative AI solutions. Responsibilities include managing and developing data scientists, prioritizing analytics opportunities, overseeing model development and deployment, establishing responsible AI and governance practices, partnering with technology and business stakeholders, presenting insights to executives, and managing portfolios, resources, risk, and delivery across multiple initiatives.

Software Engineering Interns will build, test, debug, and deploy production features for AI products. They will collaborate across engineering, product, AI, legal, and go-to-market teams; participate in code reviews, pair programming, design reviews, and technical documentation; and may work on document retrieval, AI collaboration interfaces, infrastructure, enterprise agents, secure systems, and frontier model evaluation.

Designs, develops, tests, and productionizes scalable Java-based distributed systems, data pipelines, analytics engines, and integrations for AML, compliance, surveillance, and supervision platforms. The role integrates upstream bank systems with vendor applications and processes large datasets in batch and near-real-time environments using cloud data lakes, big data platforms, messaging systems, and relational databases. It also requires capital markets and compliance knowledge, collaboration with technical and business stakeholders, and adherence to regulatory, audit, risk, and information security requirements.

Oversee enterprise data quality and pipeline health across Airflow, dbt, Microsoft Fabric, SYNQ, and Power BI. Translate business rules into quality checks, monitor alerts, coordinate issue resolution, manage thresholds and lineage, and maintain audit evidence supporting SOC 1 controls. The role also supports controlled overrides, manual file ingestion, documentation, stakeholder coordination, and reporting-impact analysis while partnering with data governance, engineering, analytics, risk, controls, and audit teams.

Build and lead Clio’s threat intelligence program, including intelligence requirements, platform implementation, adversary and campaign tracking, original infrastructure and malware research, fraud and abuse analysis, and executive briefings. Translate intelligence into detection requirements, red-team priorities, and payment fraud controls. Manage intelligence vendors, participate in industry information sharing, collaborate with blue teams, automate collection and analysis, and mentor junior analysts.

Build and ship full-stack AI product features using Python, Node.js, React, and TypeScript. Design APIs, integrations, data pipelines, and scalable architectures while supporting cloud infrastructure, CI/CD, security, observability, and reliability. Own projects from technical design through deployment and iteration, collaborate cross-functionally, lead code reviews, mentor developers, and improve engineering practices.

As a Senior Software Engineer, Full Stack, you will build backend services and APIs for a document analysis platform, focusing on server-side architecture and data processing, while also contributing to frontend features as needed.

Develop, test, deploy, and support enterprise-grade applications, services, integrations, and data-enabled solutions using Microsoft technologies and Azure. Participate in the full SDLC, CI/CD, DevSecOps, troubleshooting, documentation, and cross-functional collaboration. Apply AI-assisted development tools and integrate responsible AI capabilities into secure, maintainable business solutions.

Leads manager research and oversight for NEI Investments and the Managed Asset Program, including manager selection, due diligence, sub-advisor oversight, performance evaluation, and investment recommendations across public, private, and alternative markets. Directs a research team, develops analytical capabilities, oversees external manager relationships, improves research frameworks, and provides investment insights to senior leaders, clients, and sales teams.

Own production online camera calibration, SLAM/VIO systems, and fleet-wide calibration drift monitoring for robotics devices. Develop video-based calibration refinement, maintain calibration databases and version history, coordinate with hardware teams on sensor parameters and synchronization, and build visualization tools for operations and research. The role requires extensive experience with SLAM, VIO, SfM, multi-sensor calibration, optimization, and scalable C++ and Python engineering. It is on-site with periodic travel to a hardware site.

Develop and own classical computer vision systems for 3D hand reconstruction, including multi-view geometry, camera calibration, temporal filtering, inverse kinematics, and physical constraints. Convert model predictions into clean, validated spatial data and maintain scalable delivery pipelines. Build QA metrics, visualizers, dashboards, and failure-analysis tools while partnering with research teams on robotics and embodied AI applications.