Top Python Jobs in Toronto

Build and maintain golden datasets and automated evaluation pipelines to audit multi-agent LLM behavior. Trace trajectories, tune prompts and function-calling, optimize tool integrations (APIs, RPA), monitor production drift and hallucinations, and implement guardrails and RAG pipelines to ensure reliable autonomous workflows.

Supports physical security intelligence and investigative operations, including threat identification, incident analysis, OSINT, and information synthesis. Develops actionable assessments, executive briefings, dashboards, and decision-support products using internal and external intelligence sources. Works with senior leaders, government agencies, law enforcement, and emergency services to improve situational awareness, strengthen security processes, and reduce organizational risk.

Leads corporate credit portfolio management for approximately $8 billion in assets under management. Responsibilities include fixed-income strategy execution, relative-value analysis, risk monitoring, scenario modeling, stress testing, cash-flow management, investment policy updates, portfolio reviews, regulatory monitoring, stakeholder presentations, vendor relationships, and analyst mentorship. The role requires at least seven years of corporate credit portfolio management experience, CFA or CIM designation, strong analytical and communication skills, Python experience, and fluency in French with advanced English.

Own the architecture of scalable, secure, multi-tenant SaaS platforms for government agencies. Define technology standards, select cloud and development technologies, lead complex architectural decisions, guide engineering teams, and ensure security, compliance, performance, reliability, and scalability. Collaborate with product and engineering leaders on requirements, integrations, and roadmaps while mentoring teams on SaaS development, deployment, and best practices.

Leads CIBC’s media analytics and decision sciences practice, guiding measurement, experimentation, attribution, forecasting, optimization, and AI/ML initiatives. Partners with marketing and business leaders to translate priorities into actionable media insights and investment strategies. Oversees end-to-end analytical delivery, data quality, governance, and responsible AI practices while managing, mentoring, and developing a team of media analytics professionals. The role is hybrid, requiring 1–3 days per week onsite.

Design, build, and optimize large-scale batch and near-real-time data pipelines processing billions of records. Develop Spark-based ETL/ELT workflows, Airflow orchestration, AWS data infrastructure, data quality monitoring, and production observability. Use AI-assisted development tools to improve engineering productivity while validating security, quality, and performance. Optimize distributed workloads, automate deployments, support compliance analytics, and partner with technical and business stakeholders to deliver reliable, scalable data solutions.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Leads end-to-end data science, machine learning, and AI initiatives for Business Banking, from problem definition and data discovery through deployment, monitoring, and optimization. Partners with stakeholders to develop scalable solutions, measure business value, and communicate executive-ready insights. Uses Python, PySpark, SQL, cloud analytics platforms, and visualization tools while ensuring data governance, privacy, compliance, risk management, and responsible AI standards.

Designs and leads end-to-end AI and data science solutions, with a focus on NLP, machine learning, LLM integration, and actionable insights from unstructured data. The role includes deploying software in AWS, collaborating cross-functionally, serving as a technical lead, mentoring junior staff, and enforcing data science best practices across development, experimentation, testing, and peer review.

Designs, builds, and operates mission-critical satellite, service provider, corporate, and hybrid cloud networks. Responsibilities include routing and switching, network security and segmentation, AWS connectivity, automation with Python, Ansible, and Terraform, monitoring and observability, incident response, change management, documentation, and collaboration with software, FPGA, and mission operations teams. The role also participates in on-call support and advances network reliability, scalability, and programmability.

Owner of localization automation and integration: design and maintain automation frameworks (Python, APIs), integrate AI/LLM solutions, manage TMS (XTM, Smartling), perform i18n code audits, root-cause complex integration issues, and build self-service tooling for early localization detection.

Own the technical sales process for North American opportunities, partnering with the founding Account Executive. Lead technical discovery, demos, benchmarks, POCs, architecture reviews, migration planning, security responses, and production onboarding. Build scalable sales engineering assets, including demo environments, benchmark tools, reference architectures, and enablement materials. Translate customer feedback into product and engineering priorities while supporting technical forecasting and representing the company at developer events.

Leads credit risk strategy design, implementation, monitoring, and governance for credit cards and personal lending. Uses advanced analytics, statistical techniques, credit scoring models, SQL, Python, and Databricks to assess portfolio risk, improve automated lending decisions, and support responsible growth. Partners with product, technology, analytics, and control teams; prepares recommendations, challenges risk activities, manages initiatives, and advises senior stakeholders on emerging credit risks and strategy effectiveness.

The Senior Full Stack Engineer will design and build core infrastructure for a logistics platform, focusing on backend systems, high-scale CRUD APIs, and real-time, event-driven architectures in a startup environment.

Lead the functional and technical delivery of IBM Maximo work and asset management solutions for a municipal program. Responsibilities include solution architecture, configuration, integrations, custom applications, mobile development, data migration, testing, upgrades, go-live deployment, stakeholder workshops, vendor coordination, issue tracking, and technical guidance. The role oversees teams and projects, develops design and test documentation, ensures quality, and recommends technology improvements.

Intern will assess API specification review processes, identify quality issues, and develop a controlled AI proof of concept to detect discrepancies. Responsibilities include defining evaluation criteria, comparing AI findings with manual reviews, documenting accuracy and limitations, refining prompts or rules, validating observations with subject-matter experts, and creating guidance for future adoption. The role requires collaboration with business analysts, product teams, developers, quality engineering, and other stakeholders.

Supports technology delivery by gathering and documenting business and technical requirements, facilitating Agile workshops and meetings, mapping processes, developing user stories and acceptance criteria, maintaining Jira boards and project plans, and tracking priorities, risks, dependencies, and progress. The intern also contributes to technology roadmaps, capacity planning, system integration goals, and process improvements while collaborating with technical and business stakeholders.

Develop proof-of-concept architecture solutions, automation, and Confluence add-ons; update standards and patterns; analyze architecture processes; build reports; interview stakeholders; and support agile delivery of technology and platform enhancements.

Supports Interac’s Money Movement product team with product research, roadmap development, requirements definition, release process evaluation, stakeholder collaboration, market research, user feedback analysis, documentation, and data visualization. The intern helps identify product opportunities and contribute to e-Transfer strategy across retail, commerce, and business markets.

Supports corporate application standardization, Jira configuration, documentation, workflow automation, and integrations with Planview, AgilePlace, and ServiceNow. Coordinates meetings, tracks action items and deadlines, maintains project documentation, tests configurations, monitors integrated tools, and supports agile ceremonies, user training, and cross-functional collaboration.

Designs and trains computer vision models for vehicle damage detection, builds high-throughput containerized model-serving microservices, and manages the end-to-end ML lifecycle. The role includes developing Kafka-based streaming data pipelines, optimizing models for real-time inference, maintaining annotation and evaluation frameworks, and collaborating with stakeholders to deliver scalable production solutions.

Develops end-to-end computer vision and machine learning solutions for vehicle damage detection. Responsibilities include training robust models, building high-throughput containerized REST/gRPC model-serving microservices, managing the full ML lifecycle, optimizing real-time inference, collaborating with stakeholders, and maintaining Kafka-based streaming data pipelines. The role also involves annotation and evaluation frameworks, cloud backend engineering, and technical design leadership.

Develop and maintain web applications, backend services, and distributed systems on a cross-functional agile team. Responsibilities include designing scalable services, planning feature rollouts, conducting code reviews, writing documentation, building automated test suites, and ensuring product reliability and performance.

Senior software developer responsible for building and operating scalable backend services for a VIN Decoder platform. The role develops Python APIs, services, and workers using PostgreSQL, Redis, AWS, and GCP BigQuery; designs data models and optimized SQL; integrates third-party APIs; and drives reliability, observability, testing, incident response, and operational maturity. The developer also contributes to architecture, code reviews, documentation, Agile delivery, on-call support, and technical mentorship.

Build and operate production MongoDB integrations and application capabilities directly within ISV codebases. Design data models, migrations, synchronization, dual-write and CDC solutions, and production-ready deployments across cloud, Kubernetes, and on-premises environments. Collaborate with partner engineers through implementation, code reviews, documentation, rollout, and knowledge transfer. The role involves regular travel and on-site work with partners.