Top Python Jobs in Toronto

Build and maintain full-stack workflows for scheduling, inventory, reporting, work execution, and technician experiences. Ship features from planning through production, collaborate with product and design, own system reliability and performance, review code, mentor developers, and improve testing and delivery practices. The role involves mobile-first development, large datasets, offline behavior, multi-site scale, and on-call rotation.

Train and fine-tune diffusion models, adapters, and pipelines for character-based sticker generation. Build provenance-aware training data pipelines and evaluation systems measuring character fidelity and output quality. Partner with brand teams to secure character approvals, ensure reliable outputs from spoken requests, and collaborate with serving and trust-and-safety engineers to launch safe products for children.

Define Auth0’s strategy and architecture for secure AI agents, agentic applications, delegated authorization, and agent-to-resource interactions. Partner across product, engineering, security, customers, and developer communities to shape platform capabilities, standards, and product direction. Build prototypes and reference implementations, advise strategic customers, contribute to standards and open source, communicate technical concepts externally, and mentor teams while addressing identity, authorization, auditability, privacy, and enterprise security.

Verify and validate embedded software for airworthy flight control systems. Responsibilities include reviewing software architecture and requirements, conducting source code analysis, and performing unit, software integration, and hardware/software integration testing under DO-178C guidelines. The role also supports software release activities and process improvements.

Optimize software workloads across datacenter and agentic AI applications on RISC-V platforms. Responsibilities include profiling applications and runtimes, identifying bottlenecks, tuning compilers and runtimes, analyzing memory and concurrency behavior, leveraging vector, matrix, and custom ISA capabilities, and developing AI-assisted optimization workflows. The role collaborates across software, compiler, hardware, and performance modeling teams to improve throughput, latency, efficiency, and future CPU architecture.

Develop, maintain, and extend PartnerStack’s Vue.js frontend and Python backend systems. Contribute to Agile processes, improve code quality and team efficiency, provide architectural feedback, and mentor teammates. The role requires writing robust, testable, reusable code, working with relational databases and ORMs, supporting live migrations, and collaborating effectively through constructive communication.

Build and modernize scalable enterprise data platform services, including AI-assisted automation, self-service workflows, and Apache Iceberg adoption. Develop Python and AWS platform tooling, improve reliability, support incident response, troubleshoot distributed data systems, and perform root-cause analysis. Partner with globally distributed engineering teams to improve data producer and consumer experiences, operational stability, and developer productivity.

Build polished, responsive front-end applications for Chiri Brain and client-specific AI solutions. Design user flows, prototypes, interfaces, reusable components, and design systems while integrating APIs, authentication, business data, agent workflows, and security controls. Work directly with customers and stakeholders to understand needs, rapidly prototype, gather feedback, and ship production-quality software. Help establish scalable front-end architecture and use AI-assisted development tools to accelerate delivery.

Design, build, and deploy production-grade legal AI solutions by translating legal user needs into robust software. Collaborate with AI engineers, apply prompt/LLM evaluation, use DevOps and Infrastructure-as-Code, practice TDD, mentor junior engineers, lead agile projects, and deliver end-to-end solutions for law firms and legal departments.

Leads company-wide measurement and causal strategy, defining canonical metrics, semantic data architecture, experimentation standards, and strategic models such as marketing mix, elasticity, incentive sensitivity, and forecasting. Partners with engineering and analytics teams to build scalable, production-ready analytical frameworks, improve scientific rigor, and guide executive decisions. Provides organization-wide technical leadership, develops modeling standards, and applies advanced statistical and causal methods to high-impact business problems.

Own the scientific and product roadmap for Fetch’s monetization data products, including audience creation, expansion, causal measurement, and audience improvement. Lead methodology, evaluate evidence, balance reach, precision, revenue, and cost, and convert bespoke studies into scalable products. Partner with Product, Engineering, Sales, and GTM on pilots, positioning, and customer value. Remain hands-on with SQL, Python, statistical modeling, and causal inference while mentoring scientists and influencing senior stakeholders.

Own audience or measurement products for Fetch’s monetization business, from problem framing through delivery. Build predictive models, datasets, population inferences, and causal measurement studies using receipt, partner, panel, survey, and contextual data. Partner with Product, Engineering, Sales, and GTM to productionize analyses, communicate methods and limitations to customers, and improve products using campaign outcomes, holdouts, and fresh data.

Own the data science strategy, analytical roadmap, and experimentation for ranking and relevance. Partner with engineering, product, commercial, and offer teams to improve advertiser outcomes, user value, retention, and marketplace economics. Design rigorous experiments and observational analyses, quantify incremental business impact, establish KPI frameworks and trade-off guardrails, influence launch and investment decisions, mentor colleagues, and build reusable analytical methods using large-scale data systems.

Drive sales engineering across the deal lifecycle by partnering with Account Executives, developing customized presentations and demonstrations, leading proof-of-concepts, and guiding technical client discussions. Position Ataccama ONE as a trusted data foundation for analytics and AI. The role requires expertise in data quality, governance, observability, cataloging, lineage, SQL, data platforms, APIs, generative AI, and enterprise technical environments.

Develop actuarial analyses and analytical solutions for an insurance portfolio, assessing pricing, portfolio mix, business initiatives, and external factors. Conduct actuarial research, audits, projections, controls, and risk mitigation activities. Translate complex findings into business recommendations and executive communications, support automation and AI-enabled analytics, and collaborate with stakeholders. The role may mentor or supervise actuarial professionals and requires strong quantitative, programming, visualization, and Property & Casualty insurance expertise.

Leads actuarial and data analysts delivering analytics, reporting, monitoring, and explainability solutions. Manages strategic initiatives, workloads, stakeholder relationships, and end-to-end analyses presented to executives and business partners. Provides people leadership through development planning, team engagement, and talent retention while applying SQL, Python, and R to develop innovative analytical solutions. Requires substantial relevant experience and General Insurance expertise.

Develops and maintains actuarial predictive models for Property & Casualty insurance using statistical and machine learning techniques. Collaborates with pricing teams, presents findings, supports model governance and compliance, writes maintainable Python code, monitors model performance, and manages multiple modeling projects with detailed documentation.

Leads a team of actuaries and data scientists delivering machine learning and analytical solutions for property and casualty insurance pricing. Sets the strategic direction for end-to-end modeling, oversees scalable frameworks and inference pipelines, partners with stakeholders and model governance teams, ensures regulatory compliance, and mentors team members across technical and business disciplines.

Build and optimize scalable data pipelines, models, integrations, and workflows supporting analytics, loyalty strategy, and enterprise decision-making. Maintain Snowflake-based data infrastructure, improve automation, CI/CD, observability, data quality, lineage, metadata, and governance. Collaborate with analytics, data science, marketing, product, privacy, security, compliance, and external vendors while helping shape cloud-native architecture and technical standards.

You will design and implement IAM systems, own authentication and authorization, and ensure secure-by-default principles across Hadrian's API platform.

Designs and scales AI-powered workflows across sales, marketing, and Customer Success. The role connects business strategy, analytics, and engineering to build data enrichment, lead scoring, routing, summarization, sales intelligence, and revenue automation solutions. Responsibilities include developing Python scripts, APIs, SaaS integrations, internal tools, and governed AI infrastructure while partnering with RevOps and GTM leaders to prioritize high-impact use cases.

Own and improve identity, Google Workspace, endpoint management, SaaS administration, automation, and employee lifecycle systems for a global remote company. Lead deployments, troubleshoot complex cross-system issues, implement security and compliance controls, automate evidence collection, and deliver technical projects. Partner with IT, Security, and Risk teams while documenting practices, coordinating rollouts, and mentoring colleagues.

Owns VM and fleet test strategy, hypervisor validation, performance quality gates, and systems-level testing for an IaaS platform. Designs reproducible bare-metal-like environments, develops automated benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses in Go, Python, and Perl. The role requires deep expertise in KVM/QEMU/libvirt, Linux internals, x86 and ARM architectures, performance analysis, statistical testing, and CI/CD tooling.

Staff Software Engineer responsible for troubleshooting and optimizing mission-critical applications, Kubernetes infrastructure, databases, and cloud-native systems. The role develops software, automation, AI-assisted operational tools, monitoring, and CI/CD improvements; resolves production incidents; performs database tuning and root-cause analysis; and drives reliability, scalability, and operational excellence across enterprise platforms.

Owns end-to-end development of commercial thermal and fluid simulation software, including a C# Windows desktop application, native C++ solver integration, UX, visualization, packaging, and installers. Subsequent work may include Python and C++ numerical solvers, wxPython, VTK, native extensions, geometry and meshing, build and release engineering, web tooling, and porting the product to Linux. The role requires broad technical judgment, multi-language fluency, legacy-code expertise, and practical AI-assisted development experience.