Top Python Jobs in Toronto

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 Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Join Hive to build and improve a marketing platform, focus on developing and shipping software, optimize system performance, and collaborate with teams.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

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.

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.