Top Python Jobs in Toronto

Build and ship end-to-end ML/AI systems (traditional ML, NLP, LLMs/AI agents) on transaction, merchant, and location data. Prototype, productionize, and monitor models, collaborate with engineering and product, and (for senior hires) shape roadmap and mentor teammates.

Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.

Lead design and delivery of enterprise-scale AI/ML solutions for Ethoca, building and governing models (NLP, generative, multi-modal) to reduce chargebacks, improve dispute resolution, and scale production systems across cloud environments.

Lead development, deployment, and monitoring of end-to-end ML/DL/AI solutions. Responsibilities include data extraction, cleaning, modeling, evaluation, production deployment, documentation, and presenting results. Collaborate across teams, build prototypes and POCs, protect IP, and disseminate knowledge externally.

Lead neurodegeneration research programs by designing and executing rodent in vivo studies, analyzing rodent and human brain tissue, developing quantitative disease readouts, and evaluating CNS therapeutic modalities. The role collaborates with pharmacology, histology, molecular biology, computational, program management, CRO, and external teams. Responsibilities include scientific strategy, experimental rigor, data integrity, literature review, and go/no-go recommendations.

Develops Power BI dashboards, gathers stakeholder requirements, analyzes business metrics, and delivers actionable insights. Leads BI projects, mentors junior team members, maintains documentation and process compliance, supports data automation, and collaborates with IT and business solutions teams on data initiatives. Requires advanced Excel and SQL skills, expert Power BI knowledge, large dataset experience, and strong stakeholder and team management capabilities.

Monitor, triage, investigate, and respond to security events across enterprise and product environments. The role performs incident response, forensic analysis, detection engineering, threat intelligence, and MITRE ATT&CK coverage. It also uses AI-assisted tools, contributes to automation and LLM workflows, maintains runbooks and operational documentation, participates in on-call rotations, and supports tabletop and purple-team exercises.

Lead technical strategy and roadmap for Affirm's Online Storage platform. Design and build scalable, multi-region datastore solutions, automation control planes, and operational tooling for hundreds of databases. Drive cross-team collaboration, reliability, monitoring, and mentor engineers while delivering high-impact backend and database features.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.

Design, develop, and manage scalable AWS cloud services powering the AssistIQ platform. Build platform capabilities, serverless applications, CI/CD automation, infrastructure-as-code, deployment monitoring tools, and AI-assisted engineering workflows. Evaluate technologies, provide technical guidance, maintain documentation, support product planning, and participate in production on-call rotation while collaborating across teams and with executives.

Perform functional and automated software testing, create test plans and bug reports, triage automation results, verify product outcomes, and collaborate with engineering and product teams in an Agile environment. The role also involves developing product expertise and improving regression test coverage through automation.

Build and maintain Ripple’s multi-region platform infrastructure, release pipelines, and lifecycle services. Develop platform features for compute, authentication, service discovery, observability, and redundancy. Create automation, monitoring, and instrumentation tooling; support secure, reliable deployments across cloud providers; contribute to CI/CD, infrastructure-as-code, and GitOps practices; and collaborate with product engineers while mentoring junior team members.

Use data science, experimentation, forecasting, and analytical frameworks to improve Lyft’s airport marketplace. Analyze large datasets, define product health metrics, identify growth opportunities, recommend technical and product solutions, and measure feature impact. Collaborate with engineering, product, design, and other scientists while presenting actionable findings to senior leadership and cross-functional stakeholders.

Build and productionize AI agents for product analytics, integrating LLMs, tools, retrieval pipelines, and data systems. Develop data pipelines, evaluation frameworks, guardrails, telemetry, and monitoring. Diagnose agent quality issues, improve prompts and context, and contribute to proactive product intelligence systems. Collaborate with product and engineering teams to translate business needs into reliable agent designs while documenting work and following shared development standards.

Build AI-augmented, full-stack applications from concepts and prototypes through production, with emphasis on frontend excellence. Create accessible, responsive React, Vue, and Nuxt interfaces; develop APIs and backend services; manage SQL and NoSQL databases; implement authentication, caching, performance, and scalability strategies. Use AI design tools, Figma, design systems, and specification-driven workflows while collaborating with designers and innovation teams.

Lead discovery, rapid prototyping, and deployment of production-ready AI solutions for supply chain and manufacturing. Build Python-based RAG pipelines, semantic search, multi-agent workflows, data integrations, and enterprise platform connections. Engage frontline operations, translate business needs into technical requirements, manage agile delivery, and ensure prototypes are scalable and transferable to core engineering teams. Work across SAP, MES, shop-floor platforms, databases, telemetry, and unstructured data while collaborating with security, data, and architecture teams.

Design and integrate PCIe, CXL, UCIe and other I/O subsystems into SoCs. Write micro-architecture specs, develop RTL in Verilog, run static checks, debug builds, collaborate with verification, performance, and backend teams, and mentor others to deliver complex SoC projects.

Design and integrate PCIe, CXL and other subsystems for SoCs: write micro-architecture specs, develop RTL in Verilog, debug, run static checks, collaborate with verification, performance analysis and backend teams, and mentor team members.

Leads HOOPP’s investment performance and P&L systems, including configuration, maintenance, troubleshooting, upgrades, data warehousing, integrations, reporting, automation, and data-quality governance. Analyzes investment data flows, validates calculations, supports new products and cross-functional projects, documents requirements, coordinates implementations, and oversees user acceptance testing. Partners with IT, investment, and operational teams, mentors analysts, manages vendors, and drives process improvements across investment reporting and analytics.

Leads microgrid control projects from sales handover through development, testing, commissioning, troubleshooting, and operational support. Develops energy-resource drivers and control algorithms, produces electrical designs and technical reports, resolves customer issues, improves project processes, and mentors team members. The role requires onsite work in Fort Collins, commissioning travel, customer-facing communication, and safe work around electrical equipment.

Independently validate and monitor machine learning models used for credit underwriting, credit risk, and fraud detection. Identify weaknesses, recommend improvements, and collaborate with model owners to remediate findings. Partner cross-functionally to implement and maintain the Model Risk Management framework and support audit, compliance, and regulatory requests.

Build and deploy production agentic AI solutions for enterprise customers. Responsibilities include designing prompts, reasoning, tool calls, integrations, data pipelines, dashboards, and full-stack architectures. The engineer owns technical components from architecture through production validation and observability, collaborates directly with customers and partners, contributes to rapid proofs of concept, shares enablement, and provides platform feedback. Travel is approximately 25%.

Design and build Index Cloud, a globally distributed, multi-tenant compute platform across Kubernetes, bare-metal, and public cloud infrastructure. Own architectural decisions, infrastructure-as-code frameworks, platform APIs, SDKs, deployment systems, networking, storage, and distributed systems solutions. Drive technical strategy through RFCs and design reviews, improve developer productivity with self-service tooling, and mentor engineers across multiple teams.

Design and build Index Cloud, a globally distributed, multi-tenant platform operating across bare-metal and public cloud infrastructure. Responsibilities include architecting Kubernetes clusters, infrastructure-as-code frameworks, deployment systems, platform APIs, SDKs, and distributed systems. The role drives technical strategy through RFCs and design reviews, improves developer self-service, establishes security and tooling standards, mentors engineers, and collaborates across SRE, networking, security, operations, and software engineering teams.

Develop backend Trust and Safety tools, features, and distributed systems that protect Lyft riders and drivers. Lead safety features from concept through launch, collaborate with product, design, policy, and engineering partners, write maintainable and tested code, participate in reviews and on-call rotations, and promote engineering best practices through knowledge sharing.