Top Python Jobs in Toronto

Lead the development of reusable DevSecOps and cloud components, delivering automation, security controls, zero-touch deployments, telemetry, dashboards, and high-availability platform support. Partner with product and engineering teams to improve operational ownership, maintain secure configurations and baselines, modernize tooling, and support reliable production services. Mentor teams, deliver group OKRs, and communicate complex technical concepts clearly.

Leads infrastructure and platform demand planning across compute, cloud, containers, networking, databases, storage, security, observability and service operations. Coordinates dependencies, estimates, risks, governance, operational readiness, financial analysis and delivery commitments across engineering teams and service providers. Translates technical complexity into business recommendations while supporting secure, automated platform consumption and responsible AI adoption.

Conduct statistical analysis, machine learning, predictive modeling, causal inference, experimentation, and time-series forecasting. Build scalable data pipelines, dashboards, reports, and production models using Python or R, SQL, and Spark. Analyze complex datasets, identify patterns and anomalies, optimize model performance, generate actionable recommendations, and present findings to data science and partner teams. The intern will collaborate with multidisciplinary stakeholders and work on fraud, losses, and financial crime problems.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

Leads functional, end-to-end, UAT, and automated testing for complex multi-tier applications. Builds and maintains automation frameworks using Java and TypeScript, monitors product and process quality, documents findings, analyzes root causes, tracks corrective actions, verifies traceability, and reports quality metrics. Collaborates with project managers, users, and global teams to support software releases, ensure SDLC standards, and identify improvements. Provides informal guidance to newer team members and supports compliance and risk controls.

Conduct applied research in machine learning and generative AI for eBay’s selling organization. Develop causal pricing models, LLM-based selling agents, evaluation frameworks, lightweight distilled models, and marketplace feedback analyses. Translate research into reliable production systems, partnering with Product, Engineering, and Data teams. Own measurable business outcomes, contribute to research strategy, and mentor junior researchers.

Lead the architecture and hands-on delivery of end-to-end Azure data platforms, including ingestion, transformation, lakehouse modeling, analytics, APIs, and activation. Build batch and streaming pipelines with Microsoft Fabric, Azure Data Factory, Databricks, Python, PySpark, and SQL. Implement governance, security, CI/CD, MCP and agentic AI integrations, while troubleshooting production systems. Mentor engineers, advise client stakeholders, contribute to presales, and establish reusable engineering standards.

Analyze Canadian structured finance transactions, including collateral, deal structures, legal documentation, financial models, and cash-flow engines. Support rating committee presentations, reports, press releases, research, and credit recommendations. Build relationships with clients and external stakeholders while developing expertise in structured finance methodologies for ABS and ABCP transactions.

Provide advanced technical support to enterprise developers by debugging complex distributed systems, tracing SDK and instrumentation issues, and advising on observability architecture. Build autonomous support workflows using Sentry APIs, MCP, knowledge engineering, and LLM orchestration. Analyze support data to prioritize product improvements, develop agent tooling, and establish effective human-in-the-loop escalation paths.

Build and scale frontend applications, backend services, APIs, integrations, and production systems. Own projects from technical design through rollout and maintenance, improve reliability, performance, scalability, and observability, and collaborate cross-functionally with Product and Design. Mentor engineers, contribute to architecture and engineering standards, resolve ambiguous technical problems, and use AI-assisted tools to accelerate development while maintaining sound engineering judgment.

Build and operate platform security services for Auth0 using Python, Node.js, or Golang. Design scalable security data pipelines, resilient microservices, cloud integrations, and platform security controls. Apply secure coding practices, manage service permissions, participate in technical design and code reviews, and maintain high engineering standards across AWS or Azure containerized environments.

Leads AI solution architecture across pre-sales, client engagements, and production delivery. Defines scalable reference architectures, evaluates models and frameworks, governs security, data residency, hosting, integrations, cost, latency, and reliability, and mentors AI and data engineers. Remains hands-on with code, prototypes, design reviews, and technical client presentations while shaping proposals and protecting engagement profitability.

Analyze product and customer data to define metrics, build dashboards, measure feature performance, connect usage to revenue, and guide product, commercial, and go-to-market decisions. The role partners with Product, Engineering, Finance, Design, and Commercial teams, improves data quality, works with fragmented data, and promotes data-driven decision-making across the organization.

Lead the architecture and hands-on development of Citi’s production-grade, multi-tenant agentic AI platform. Build full-stack AI components, intelligent agent orchestration, Model Context Protocol servers, RAG pipelines, vector and graph database integrations, and prompt classification systems. Partner with subject matter experts and engineering teams to deliver scalable, secure, and operationally resilient AI solutions. The role also provides technical leadership, production ownership, and team direction.

Develop and administer Tableau Server, build optimized data sources and dashboards, write and tune SQL, and perform exploratory data analysis. Partner with business, product, and analytics teams to deliver scalable reporting solutions. Establish visualization standards, document analytical processes, and evaluate AI/NLP tools such as Amazon Q to improve self-service analytics and natural-language querying.

Own Myant’s public websites, including hosting, SEO, analytics, accessibility, privacy, and performance. Develop responsive React and Next.js applications for clinician and patient connected-health platforms. Integrate backend APIs, improve scalability and Core Web Vitals, maintain testing and documentation, make web-stack decisions, mentor developers, and work within regulated medical-device software processes. Collaborate with designers, product managers, marketing, and backend teams while applying AI-assisted development tools responsibly.

Build and deploy production-grade GenAI and Agentic AI solutions for enterprise clients. Responsibilities include designing LLM applications, RAG systems, AI agents, and multi-agent workflows; integrating APIs, databases, and business applications; deploying and scaling cloud solutions; optimizing reliability, security, performance, and cost; and partnering with technical and business stakeholders from initial problem definition through production deployment.

Leads enterprise market intelligence and analytics for wholesale power and commodity markets. Builds forecasting, forward-curve, fundamental modeling, scenario analysis, dashboards, and governance capabilities; supports investment, development, M&A, financing, asset optimization, hedging, and portfolio decisions. Establishes a global center of expertise, manages analysts and external providers, and communicates market insights and uncertainties to executives, investment committees, and boards.

Develop and refactor Python optimization algorithms using object-oriented programming for supply chain, inventory allocation, replenishment, and pricing optimization. Build predictive models, apply advanced statistical and optimization techniques to large datasets, and deliver data-driven solutions for retail and CPG clients. Collaborate with business stakeholders and data science teams, communicate analytical insights, coach colleagues, and apply current data science practices to business problems.

Owns complex analyses across acquisitions, inventory, conversion, operations, and financing. Builds models, metrics, experiments, dashboards, data models, and production pipelines using tools such as dbt, Airflow, and Snowflake. Partners with cross-functional stakeholders to turn ambiguous business questions into recommendations, communicates findings to leadership, and contributes to data governance and documentation.

Lead analytics consulting engagements by translating business objectives into analytical roadmaps, defining and governing KPIs, assessing data quality, and conducting hands-on data exploration with SQL and Python. Partner with stakeholders and Power BI developers to design metric structures, semantic models, wireframes, and dashboards that support strategic decision-making.

Develop and deploy computer vision and multimodal AI models for e-commerce applications, including search, recommendations, content generation, and video understanding. Build training, inference, evaluation, and agentic AI pipelines; conduct rigorous experimentation and error analysis; and productionize foundation-model-based systems. Collaborate with product, engineering, design, and research teams to translate business needs into scalable machine learning solutions.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; communicate insights and recommendations; influence leadership decisions; and drive initiatives through execution. The role requires strong analytical problem-solving, SQL or Python proficiency, independent data interpretation, persuasive communication, and ownership of ambiguous business challenges.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions through execution. The role requires independent data work, strong problem-solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Design, develop, and evaluate large-scale multimodal foundation models for biological research. Build hybrid LLM and graph neural network architectures, relational foundation models, and distributed multi-GPU training systems. Apply deep learning theory to biological data, transition research prototypes into scalable production systems, publish peer-reviewed research, and mentor junior staff while collaborating across scientific and engineering teams.