Top Python Jobs in Toronto

As a Backend Engineer, you will architect, build, and deploy systems for our data science platform, collaborating with a cross-functional team to enhance machine learning practices.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

Develop and maintain photonics PDK components and pcells, ensure synchronization between layouts, netlists, and models, author LVS/DRC decks, perform device extraction and LVS troubleshooting, build automated regression and CI pipelines, and collaborate across design, layout, and modeling teams to support tape-outs.

As a Senior Software Engineer, you will design and build backend systems for a wealth management platform, focusing on scalable alternatives for private markets, while collaborating cross-functionally on product development and operational workflows.

The AI/ML Engineer will design and develop AI-powered applications, automate workflows, and integrate AI into BPM's daily operations, ensuring they deliver business value.

Design and implement advanced generative AI models, optimize deployment in production, collaborate with teams, and stay updated on AI advancements.

The role involves developing backend services using Python and Django, ensuring high availability and performance, and leveraging computer vision technology for 3D experiences in home decor.

The Senior Client Analytics Partner will help B2B clients optimize marketing strategies and measure success through advanced analytics, reporting, and client collaboration.

Drive AI-enabled ASIC development methodology by identifying cross-stage bottlenecks, building data pipelines and metrics, creating automation and AI models, mentoring engineers, and evaluating advances in AI and EDA to improve predictability, convergence, and cycle time.

As a Fullstack Software Engineer, you will develop products for the post-purchase experience by implementing features, maintaining code quality, and mentoring other engineers.

Lead Fever's expansion in Canada by owning growth roadmaps, advising strategic partners, turning data into actionable business cases, optimizing revenue and operations, and managing cross-functional stakeholders to improve CAC, LTV, and ROI.

Lead pre-silicon emulation strategy for a next-generation AI inference ASIC using Cadence Palladium. Architect multi-rack models, enable software left-shift via hybrid emulation, verify high-speed interfaces and memory hierarchies, perform power/performance analysis, and collaborate with RTL, DV, software teams and Cadence R&D to ensure silicon readiness.

Use advanced analytics to monitor collections performance, evaluate third-party agencies, design incentive programs, and develop Power BI dashboards. Partner with operations, strategy, and risk to translate insights into actions, document data flows, and deliver training to non-analytical users to improve collections efficiency and portfolio outcomes.

Design and code R and SQL programs to clean, validate, and analyze real-world data (Optum, Flatiron). Implement RWE protocols using epidemiological and advanced statistical methods, document analyses for reproducibility, create dashboards/reports, review programming plans, and collaborate with study teams to meet timelines and reporting requirements.

Lead and build bookkeeping and capital operations for Jobber's fintech products. Own day-to-day operations, compliance, reporting/SQL analytics, policy/process development, vendor and cross-functional partnerships, and scale operational tooling using AI to automate workflows.

As a Senior AI Full Stack Developer, you will build and deploy AI-powered tools, integrate APIs, optimize workflows, and collaborate across teams to enhance cybersecurity practices.

Design, implement, and operate cloud and Kubernetes detection and response controls across Azure and AWS. Develop detection-as-code, playbooks, and automations; perform threat hunting, incident triage, and collaborate with engineering and IT teams. Participate in on-call rotations and improve security posture for regulated environments.

Build and maintain BigQuery data pipelines, map warehouse schemas, and craft SQL to feed LLMs. Develop Claude Skills and Gemini Gems, collaborate on prompts, validate AI outputs, and design AI agents to automate eCommerce analytics and operational workflows.

Lead and manage a team of statisticians and data analysts to design and perform quantitative analyses for wage-and-hour matters, deliver timely client-facing reports, streamline processes, ensure data quality, manage project workflows and budgets, and train staff in statistical methods and automation.

The Applied AI Scientist will work on developing and deploying AI systems, collaborating across teams to improve product features and drive customer impact through machine learning models.

As a Machine Learning Scientist at Nucs AI, you will develop innovative ML methods for medical image analysis, collaborate with clinicians, and contribute to clinical validation studies, impacting cancer diagnostics.

As an Applied AI Developer, you will build AI-backed tools using Python, integrating LLM APIs, and automating workflows while ensuring reliability and quality evaluation of AI outputs.

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.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.