Top Python Jobs in Toronto

The Senior Systems Engineer will architect, deploy, and maintain diverse systems and infrastructure, mentor junior engineers, and improve workflows across teams.

The Full Stack Engineer will develop both frontend and backend solutions to empower business users in data analysis without technical skills, utilizing various technologies including NextJS and Python.

Seeking a Full-Stack Engineer with 3+ years of experience to develop and enhance data collaboration tools using LLMs, focusing on frontend and backend development.

As a Software Architect at Air Apps, you'll define system architecture for an AI platform, guiding engineering teams in best practices and ensuring high performance and security.

As a Software Architect at Air Apps, you'll define system architecture, guide technical teams, and evaluate new technologies for software solutions.

As a Software Architect at Air Apps, you will define system architecture, provide technical leadership, and ensure secure, scalable solutions while collaborating with teams and overseeing integrations.

As a Senior Full-Stack Developer, you will architect and build custom web applications, integrating AI, designing APIs, and managing backend and database layers, ensuring security and performance across various client projects.

Lead two engineering teams focused on application areas, oversee product outcomes, contribute technically, and hire high-quality engineers.

The Senior Inference Engineer will optimize and scale AI workloads, improve model performance, and integrate AI models into production APIs while collaborating with various teams.

Lead and mentor a high-performing Platform/DevOps team, manage application delivery, and improve internal CICD platforms while ensuring reliability and observability of systems.

The Applications Development Senior Lead oversees application systems development, team management, budget control, stakeholder engagement, and integration of advanced technologies while ensuring project delivery and operational alignment.

The role leads generative AI engineering and large language model strategy, focusing on deployment, application design, and enterprise knowledge enablement while optimizing workflows and governance.

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

The Staff Electrical Engineer will design, validate, and manage electronic systems, oversee PCB layouts, and develop test infrastructure while ensuring integration with teams.

The Senior/Principal ML Engineer will build digital infrastructure for computational workloads, focusing on model iteration, deployment, and collaboration with scientists. Responsibilities include developing ML workflows, defining CI/CD pipelines, and mentoring team members.

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

As a Senior Application Engineer, you'll develop core applications for scientists using high-performance APIs and ensure software safety, deployment automation, and user experience in complex experimental workflows.

Lead design and delivery of enterprise web applications using Angular and .NET Core. Collaborate with stakeholders and cross-functional teams, drive architecture and technical decisions, mentor engineers, ensure high performance, security, and testability, and participate in agile ceremonies and CI/CD deployments.

The Lead Robotics Software Engineer will develop key functionalities of Dapster's robot technology, focusing on motion planning and navigation algorithms.

The Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

As a Data Scientist, you will analyze complex datasets, build statistical frameworks, and collaborate with ML researchers to improve AI evaluation systems.

The Machine Learning Scientist will lead open-source research, design experiments, develop novel methodologies, and analyze large-scale data to advance AI model evaluation and transparency.