Top Python Jobs in Toronto

Seeking a Senior Data Scientist to lead data science initiatives, drive machine learning strategies, implement data solutions, and collaborate with cross-functional teams to enhance programmatic efficiency.

The DevOps Engineer will onboard applications, set up automated build and testing servers, and maintain non-production environments while promoting DevOps principles.

The role involves onboarding applications, setting up automated build and testing environments, and advocating for DevOps processes. Requires scripting proficiency.

As a Senior Data Engineer at Nimble, you will manage the end-to-end data platform, build pipelines, enhance data modeling, collaborate with teams, ensure data security, and mentor others.

The OS / K8s Systems Engineer will build and automate systems to turn GPU hardware into production-ready compute, focusing on reproducibility, scalability, and reliability across data centers.

Implement and manage DevSecOps practices in SDLC, focusing on security integration, CI/CD pipeline hardening, cloud infrastructure security, and compliance documentation.

Design, build, and deploy predictive and generative ML models (including LLMs) for banking use cases. Create production-ready ML pipelines, perform evaluation/A-B testing and monitoring, translate business problems into ML solutions, and communicate results to stakeholders while ensuring code quality and model robustness.

The Senior Staff Software Engineer will lead technical strategy, architecture decisions, and mentor engineers to shape the platform across teams, ensuring high standard coding and systems design with a focus on customer outcomes and engineering excellence.

The AI Developer will build and maintain data pipelines, design RAG systems, develop AI workflows, and ensure production reliability in healthcare settings.

Develop and deploy deep learning models across vision, language, audio, and multimodal domains; build end-to-end workflows from data curation to on-device or cloud deployment; prototype and integrate generative and foundation-model research into product features; collaborate cross-functionally and publish or patent innovations.

As a Senior QA Engineer, you will design and maintain automated test infrastructure, perform system-level testing, and coach peers in a cross-functional agile team.

Lead architecture, design, and delivery of large-scale, high-availability systems across cloud and mobile. Advance AI enablement and agentic workflows, own full components end-to-end, debug stack-wide issues, mentor engineers, and drive cross-team technical strategy and best practices.

The Software Engineer will analyze, design, program, and modify software for financial services. Responsibilities include developing web applications, REST APIs, and microservices, using BDD/TDD methodologies, and ensuring product scalability and security.

As a Senior Engineering Manager in Data Engineering, you'll lead a team to build a Data Platform, improve engineering practices, and ensure project delivery through effective collaboration and system architecture design.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.

Lead product-focused analytics for seller and listing performance: define KPIs, build/maintain data models and ELT pipelines, run experiments and impact measurement, deliver dashboards and automated reporting, use AI-assisted tools and analytics agents, and mentor junior analysts to drive business outcomes.

As a Senior Data Scientist, you will design, build, and operate machine learning and GenAI systems, influence technical direction, and mentor junior data scientists, focusing on production ML systems.

Lead high-impact AI initiatives, develop ML products, collaborate with cross-functional teams, and mentor data scientists in a dynamic environment.

Lead and build a hands-on data science and analytics function for a live-service gaming company. Own analysis (SQL, Python/R), dashboards, KPIs, experimentation, data quality, pipelines, and executive reporting. Partner across product, ops, marketing, finance and engineering. Implement AI-driven analytics, automation, and copilots, then hire and scale a high-performing team while establishing governance and responsible AI practices.

The analyst will provide risk insights, develop risk analytics programs, support investment risk reporting, and build relationships with investment teams.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.

The Senior Application Architect designs and oversees software architecture, ensures application scalability and security, integrates systems, and leads project implementation.

Design and maintain scalable web applications with Python and Angular, conduct testing, manage databases, and implement automated workflows.

Develop, deploy, and maintain AI-powered applications and intelligent workflows using Python in cloud-native environments. Build APIs, microservices, and data pipelines; integrate LLMs and ML models; implement retrieval/prompt-driven experiences and CI/CD; optimize performance, security, and scalability; collaborate cross-functionally and troubleshoot model and system issues.