Top Python Jobs in Toronto

Lead analytics function: deliver product, marketing, and business analytics; build and scale the analytics team; partner with CEO to drive growth; be a hands-on manager and top analyst; hire and manage teammates.

Build and maintain a near real-time financial dashboard by integrating market and forecast APIs, automating financial models, and crafting clear visual narratives using Flourish and Canva. Collaborate with design and marketing partners, ensure data accuracy and performance, and optimize data flows across multiple feeds.

Design, build, and operate internal developer platform components—CI/CD pipelines, Kubernetes-based tooling, GitOps workflows, and IaC—improving developer velocity and reliability. Mentor engineers, drive cross-team platform initiatives, track metrics, contribute to incident response, and build AI-powered automation for detection, triage, and developer productivity.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

As a Lead Software Engineer, you'll develop cloud infrastructure, enhance CI/CD practices, optimize systems, and mentor other engineers to improve deployment and reliability for customer interactions.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

The role involves improving recommendation systems using machine learning, developing end-to-end ML systems, and collaborating with engineers.

The Lead Quality Engineer will set quality standards, mentor a QA team, improve testing strategies, and enhance automation in AI-driven workflows.

The Staff AI Engineer will develop backend services, integrate APIs, optimize performance, and ensure system reliability in cloud-native environments.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

The DevOps Engineer will design, build, and optimize cloud infrastructure for machine learning operations, manage CI/CD pipelines, and ensure reliability across systems.

The Senior Machine Learning Engineer will develop and optimize AI image generation models, monitor production issues, and collaborate on ML solutions for generative features.

As a Senior Full-stack Developer, you'll code back and front ends for the Drag Me apps, maintain app data, identify bugs, and improve operations while collaborating with a cross-functional team.

Lead and mentor the engineering team for the Compliance Monitoring product, focusing on high-quality software delivery, technical guidance, and project coordination.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

The role involves designing and implementing analytics strategies, managing tracking and reporting for ecommerce clients using GA4, GTM, SQL, and Python. The strategist collaborates with internal teams and clients, ensuring analytics support business decisions and measurement frameworks for omnichannel marketing.

The role involves leading AI/ML initiatives, managing a team, defining strategies, and overseeing advanced machine learning solutions including LLMs and RAG.

The Full Stack Engineer will design, build, and scale core product features, work on backend services, and collaborate on architecture and product decisions.

The Staff ML Research Scientist will pioneer deep learning architectures for drug discovery, driving technical strategy and mentoring junior researchers.

As a Forward Deployed Engineer Strategist, you will engage with customers to understand their audio AI needs and collaborate with teams to develop innovative solutions, ensuring effective implementation and delivering results.

As a Staff SRE, you will ensure the reliability and performance of Andromeda's GPU infrastructure, lead incident responses, build observability systems, and mentor engineers, while collaborating closely with engineering and customers.

The engineer will derive requirements for safe driving in self-driving vehicles, collaborate on algorithms, and support testing and system design for autonomy.

Design and build operational data systems, including pipelines, storage layers, and APIs for near real-time enforcement and insights, balancing streaming and batch paradigms.

The Software Engineer will design and build systems for sharded PostgreSQL, collaborate with a team to solve distributed systems challenges, and directly engage with customers to create technical solutions.