Top Python Jobs in Toronto

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Lead technical customer success for Cyera's platform: act as primary technical expert, drive onboarding and adoption, design custom use cases, troubleshoot issues, run executive and technical workshops, conduct QBRs, mentor team members, and influence product roadmap to maximize customer ROI and expansion.

Lead design and delivery of cloud-based data architectures and ETL/ELT pipelines for marketing analytics. Advise clients, integrate marketing data, build and optimize pipelines and reusable models, ensure data quality/security, mentor team members, and align technical solutions to business goals.

Lead implementation of enterprise web and app measurement solutions, translating business needs into technical guides, performing QA, auditing analytics deployments, training stakeholders, and recommending scalable, maintainable analytics and tag management practices.

Develop and optimize FPGA placement algorithms within the compiler toolchain to improve timing, congestion, and resource utilization. Integrate placement capabilities with routing, synthesis, and timing teams, analyze placement quality and bottlenecks, and enhance performance, scalability, and QoR for large designs.

Lead the design, implementation, and operation of core developer infrastructure (build systems, CI, SCM, remote dev envs). Drive architecture, scalability, onboarding improvements, standardize CI/build patterns, mentor engineers, and improve engineering productivity and reliability at scale.

Partner with customers to architect, build, and deploy high-scale production AI applications. Translate ambiguous goals into reliable, observable services, implement end-to-end model deployment and monitoring, optimize ML projects, and own customer-facing technical delivery and product outcomes.

Design, build, and productionize LLM-powered applications and agentic AI systems. Develop data and inference pipelines, deploy and monitor models, define evaluation frameworks, optimize performance/cost, and enforce governance, safety, and observability to deliver scalable AI-driven customer experience solutions.

Work as a full‑stack engineering intern writing production code across backend services, databases, and front‑end interfaces. Use MySQL, JSON, and third‑party APIs, debug existing systems, collaborate with senior engineers, and experiment with modern tooling (including AI-assisted development). Remote role (US/Canada) for 3–12 months.

Build end-to-end product features across the stack for a payments platform: design and implement frontend and backend components, RESTful APIs, and scalable services; collaborate with product, design, and business teams; optimize performance and reliability; integrate with banking/payment networks and LLMs.

Lead monitoring, detection, and investigation of credit card and payments fraud. Configure and optimize detection rules and scoring models, analyze transaction patterns, conduct investigations and reporting, develop prevention strategies and controls, collaborate with cross-functional and external partners, and support recovery and automation initiatives to reduce financial loss while preserving customer experience.

Lead architecture and development of scalable, secure full‑stack services for card and payments systems using PHP and Python. Design REST APIs and microservices, optimize MySQL performance, drive CI/CD and testing standards, champion security and compliance, influence AI tooling strategy, and mentor mid and junior engineers.

Build and maintain PHP and Python services and RESTful APIs powering credit card issuance, rewards, and payments. Own features end-to-end, make architectural decisions, optimize MySQL queries, integrate with banking cores and payment networks, and mentor junior engineers while working asynchronously in a remote-first environment.

Lead development and refactor optimization algorithms in Python for pricing and supply‑chain problems. Design and implement predictive models and mathematical optimization solutions, collaborate with cross‑functional teams, coach data scientists, and translate business requirements into data‑driven pricing and replenishment strategies.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Partner with sales to deliver code-level demos and custom API integrations; build sandboxes, sample code and Postman collections; troubleshoot webhooks, auth, and payment flows; respond to technical RFPs and relay field feedback to Product and Engineering.

Lead growth-focused data science across cross-functional squads: design experiments, build models and dashboards, run causal analysis and forecasting, define KPIs, identify high-leverage opportunities, and drive data-informed product and marketing decisions to improve acquisition, retention, and monetization.

Lead growth-focused data science within a cross-functional squad: define KPIs, run experiments, perform causal inference and forecasting, build dashboards and self-serve tools, identify high-leverage opportunities across acquisition, activation, retention and monetization, and evangelize data-driven decision making to drive measurable business impact.

Deliver production-ready voice AI solutions to enterprise customers: prototype to production, build full-stack integrations, lead deployments, translate field feedback into product improvements, and partner with sales while communicating technical concepts to non-technical stakeholders.

Develop and deploy generative AI and LLM solutions end-to-end for e-commerce: research models, build ETL/data pipelines, run distributed training and experiments, collaborate with product and engineering to deliver production systems that improve recommendations, search, personalization, and customer interactions.

Lead design, build, and deployment of production-grade Databricks data platforms across AWS/Azure. Architect scalable ETL/ELT pipelines with Spark/PySpark, manage Delta Lake and Unity Catalog, implement CI/CD and IaC, provide client-facing technical leadership, and mentor engineering teams.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.