Top Python Jobs in Toronto

The Senior Product Manager will lead the development of a mobile game, focusing on gameplay systems, monetization, and live operations, while collaborating with various teams and utilizing data-driven strategies to enhance player experience.

As a Principal Software Engineer on the GenAI team, lead the design and implementation of AI-powered solutions, ensuring technical alignment and mentoring engineers.

The Senior Software Engineer will develop and enhance ClickHouse's Python connector and SDK ecosystem, focusing on integration with orchestration and transformation tools, while engaging with the open-source community and driving AI/ML integration strategies.

The role involves designing and developing machine learning infrastructure for annotation, evaluation, and training models, focusing on scalable systems and efficient data workflows.

Develop software and systems for embedded platforms at Aquabyte, focusing on sensor interfaces, network reliability, and hardware diagnostics while collaborating with research teams on machine learning models.

Develop algorithms for processing sensor data, fuse multi-modal streams, aid in 3D scene reconstruction, and ensure robust production code primarily in Python.

Lead automation strategy and quality engineering for clinical technology. Architect scalable frameworks, implement AI testing, and mentor teams.

As a Quality Engineer at StackAdapt, you will develop automated tests, collaborate with teams on CI/CD deployment, and enhance software quality across various testing types.

The Sr QA Engineer will lead automation test projects, develop test cases, and ensure quality standards throughout the development cycle while collaborating with team members.

The Analyst will drive marketing strategies and optimize campaign performance using analytics and insights, generate reports, and develop dashboards.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

Consult with clients to design, build, and implement AI and machine learning solutions. Perform exploratory data analysis, feature engineering, model development and evaluation, data pipeline and visualization development, and contribute to documentation, testing, and cross-functional delivery for generative AI and analytics projects.

The role involves designing and implementing features in a C++ analytics library, writing tests in Python, fixing software bugs, and supporting client teams with technical documentation.

The Scientific Solutions Engineer supports pre-sales efforts by leading customer engagements, delivering demonstrations, and implementing proof-of-concept projects, while leveraging bioinformatics expertise and technical skills.

Develop and commercialize MEMS-based inertial measurement units, enhance performance of Inertial Navigation Systems, design algorithms, and collaborate with product teams.

As a Data Analyst, Product at Kraken, you'll transform complex product data into actionable insights, manage data solutions, and support decision-making in a remote environment, focusing on user experience and growth.

The Machine Learning Intern will design and train models, develop AI agents, and work with teams to create impactful applications.

The GTM Engineer will build internal tools, automate workflows, and enhance data-driven strategies for acquisition, retention, and expansion in a restaurant context.

The PHP Data Developer will design, develop, and maintain data processing tools and ETL pipelines, while collaborating with a team and ensuring code quality.

The GIS Specialist will lead GIS projects, manage data and databases, provide guidance to team members, and enhance project outcomes through GIS solutions.

The Senior Software Engineer will manage project implementation and deployment, maintain existing software, troubleshoot issues, and design scalable solutions using Python and Django.

The Consultant will conduct financial analyses and modelling, manage client relationships, oversee junior staff, and perform market research. Responsibilities include developing financial tools and ensuring quality control on deliverables.

As a Consultant, you will conduct due diligence, analyze financial statements, develop reports, create financial models, and manage client relationships, ensuring high-quality deliverables to clients.

As an Applied Research Scientist, you will lead the development of scalable GenAI applications, innovate AI strategies, publish research, and mentor junior staff, while leveraging your expertise in cloud development and LLMs.