Top Python Jobs in Toronto

Design, build, test, deploy, and operate cloud-native, microservices-based software. Implement RESTful APIs, IaC, CI/CD, containers/serverless, and database solutions. Monitor and troubleshoot production systems, apply security best practices, and collaborate with global teams to translate requirements into scalable, reliable solutions.

Manage and administer critical SaaS platforms (Tableau, Freshdesk, Datadog), provide tier-2 product support, triage escalations, build automation and reporting with Python and SQL, maintain runbooks and observability, and coordinate with Engineering, Customer Success, and vendors to improve reliability and incident response.

Architect and lead end-to-end production AI solutions across cloud, edge, robotics, and IIoT. Drive AI strategy, product lifecycle, MLOps, model development, deployment, and optimization. Integrate foundation models, multimodal and agentic AI with robotics, sensors, and digital twins. Ensure security, governance, observability, and operational excellence. Mentor teams, coordinate cross-functional delivery, produce technical/service documentation, and translate innovation into commercial value.

Design, deploy, and maintain cloud-based SaaS environments with Infrastructure as Code, CI/CD pipelines, automation scripting, monitoring, incident management, and security/compliance. Collaborate with architects, developers, and clients to run PoCs, streamline releases, conduct DR/VAPT exercises, produce operational metrics, and mentor junior engineers to ensure high availability and reliable service delivery.

Design, implement, and maintain scalable, object-oriented test automation frameworks for UI and server-side microservices. Build production-grade test code, integrate AI/ML for self-healing and predictive analytics, and enable CI/CD-driven deterministic automation pipelines. Collaborate in Agile to shift testing left, validate APIs and databases, and analyze/resolve automation failures.

Lead enterprise automation and continuous-improvement initiatives for Global Supply Chain Finance. Identify and prioritize process improvements, design and deploy automated reporting and dashboards, partner with cross-functional teams, build business cases, measure business impact, standardize global processes, and lead change management from concept through implementation.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

Hands-on IT Systems Engineer responsible for endpoint management, identity and access administration, cloud and network support, infrastructure-as-code, compliance (SOC2/FedRAMP/CMMC), automation, and documentation. Own device lifecycle, IdP provisioning, VPN/segmentation, Terraform IaC, audit responses, and cross-functional IT initiatives to scale secure corporate operations.

Design, implement, administer, and optimize enterprise backup and recovery solutions across hybrid environments. Serve as L3 escalation for backup/storage issues, lead DR planning/testing, ensure ransomware protection, automate backup workflows, tune performance, and collaborate with infrastructure and security teams to maintain high availability and data integrity.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.

Own execution frameworks translating engineering roadmaps into schedules, milestones, and resource plans for satellite hardware/software programs. Coordinate cross-functional teams, surface risks, propose mitigations, support staffing and bid decisions, and drive on-time delivery of mission-critical systems.

Own program execution for satellite engineering roadmaps: build schedules, manage dependencies and resources, surface risks, translate roadmaps into release plans, and partner with leadership on prioritization and staffing to ensure on-time delivery of integrated hardware/software systems.

Own execution framework for satellite programs: build schedules, manage dependencies and resources, surface risks, translate engineering roadmaps into release plans, coordinate cross-functional teams, and support prioritization, staffing, and bid decisions to ensure on-time delivery of hardware and software.

The Deployed Engineer will build demos and POCs, support customer questions, manage technical relationships, update documentation, and collaborate with engineering to drive customer success.

Seeking an experienced Frontend Engineer to enhance user experience for multimodal data management applications. Responsibilities include optimizing user interfaces, collaborating with designers, and building scalable backends.

As a Customer Engineer, you will debug issues, optimize queries, assist customers in Slack, and ensure customer outcomes while communicating effectively.

Design and own end-to-end data quality systems for managed AI data studies: define rubrics, sampling plans, automated checks, launch gates, drift detection, dashboards, and calibration. Investigate integrity issues, run root-cause analysis, build automation in Python/SQL, and partner with Product, Engineering, and Operations to embed quality controls, train reviewers, and scale repeatable quality playbooks across programs.

Research, develop, and deploy ML/AI solutions that power product features. Collaborate with product, engineering, and client teams to analyze data, build models, operationalize MLOps workflows, and generate insights to improve customer and product outcomes.

The engineer will design, characterize, and develop coherent optical transceivers, focusing on digital-optical integration and performance optimization.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

The Software Engineer will design and implement systems across the stack, focusing on AI-native engineering principles, distributed systems, and high-performance data processing.

Design, evolve, and operate Shakepay's internal developer platform and tooling. Build infrastructure-as-code, GitOps workflows, observability, AI-powered automation, and scalable systems. Lead cross-team technical initiatives, mentor engineers, drive reliability and operational excellence, and contribute to incident response and platform strategy.

Develop and maintain enterprise software applications, focusing on back-end development, API development, and ensuring application security while contributing to software improvement processes.