Top Python Jobs in Toronto

The Senior ML Engineer at Provectus will design and deploy ML solutions, mentor junior engineers, and improve ML practices and technologies.

The Staff Data Engineer/Developer will lead data architecture improvements, develop data pipelines, and collaborate with teams to create data products.

As a Software Developer at Xanadu, you'll enhance the pennylane.ai ecosystem and contribute to quantum software development using modern front-end technologies.

As a Full Stack Software Engineer at Terawatt, you will develop cloud-native applications for EV charging systems, optimize backend services, and drive product innovation through collaboration with teams and stakeholders.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, collaborate with teams, and automate workflows in a cutting-edge AI platform.

The DevOps Engineer will onboard applications, set up automated build and testing servers, and maintain non-production environments while promoting DevOps principles.

The Data Scientist will conduct data analysis and modeling to support investment decisions, design data pipelines, and collaborate with teams to provide actionable insights.

The Senior Developer Experience Engineer at Float builds internal tools to enhance developer productivity, champion AI in workflows, and gather feedback for continuous improvement.

The role involves onboarding applications, setting up automated build and testing environments, and advocating for DevOps processes. Requires scripting proficiency.

The role involves developing and deploying generative AI applications using Microsoft Azure AI stack, focusing on LLMs, agent-based workflows, and scalable AI infrastructure.

The role involves developing analytical models, working with large datasets, leading data science projects, and communicating insights to stakeholders.

Design, build, and maintain data pipelines and models using ELT/ETL processes, Snowflake, and various AWS services. Collaborate with teams to ensure data quality and usability.

As a Senior Machine Learning Developer, you will build and maintain ML models and pipelines, enhancing AI systems for business applications.

The Senior Data Scientist analyzes data to provide insights and solutions for customer campaigns, measuring performance and mentoring team members.

The Senior Software Engineer focuses on developing backend systems, managing APIs, collaborating with teams, and ensuring operational availability while participating in community building within the team.

Seeking a Software Developer to design and develop components in .NET, C#, and other languages, working closely with product and QA teams.

The Senior Analyst will streamline Finance Operations, implement automation solutions, and drive continuous improvement through analytics and data management.

The Senior Data Engineer will build and maintain datasets, create scalable data pipelines, and collaborate with teams to enhance data utility for decision making in a fast-paced environment.

The Data Architect will design and optimize data ingestion pipelines using Apache Airflow, develop frameworks, and collaborate with engineering teams to enhance data architectures in Azure.

The Data Engineer will lead MDM solution designs, develop ETL workflows, collaborate on data governance, and integrate with data platforms.

Lead and manage the software engineering team at WildBrain, overseeing product development, engineering standards, team collaboration, and integration of internal and external technologies.

The Data Scientist will improve mapping products by analyzing data, designing experiments, and collaborating with teams to enhance navigation and route recommendations.

The FPGA Development Tools Engineer will develop algorithms and models for FPGA timing and device mapping, optimizing for performance and working closely with hardware teams.

The Analyst will support portfolio strategy, oversee operational strategies, manage risk analytics, and prepare reports for investment management.

The role involves supporting fund monitoring, due diligence, portfolio analysis, risk analytics, and contribution to research in Capital Markets and Factor Investing.