Top Python Jobs in Toronto

The role requires backend engineering experience, proficiency in Go or another language, and skills in scalability, databases, and SDK development for high-scale features.

Lead the Threat Intelligence Operations, analyze cyber threats, enhance security posture, produce actionable reporting, and mentor junior analysts.

The Data Scientist will develop and deploy scalable ML models utilizing NLP to enhance security solutions, collaborating with cross-functional teams.

Lead a Data Engineering team to build Mastercard's global marketing data platform, focusing on data quality, governance, and developing scalable data solutions.

Lead the design, development, and delivery of risk assessment software. Mentor a team, ensuring high-quality standards and innovation in technology solutions.

As a Senior AI Engineer, you'll develop AI systems, work with LLMs, enhance backend services, and ensure safe AI solutions while collaborating with teams.

The Senior Specialist will develop and execute strategies for Mastercard's small business segment, collaborating with internal teams and external stakeholders, while leading quantitative analyses and presenting findings to executives.

The Lead Software Engineer designs solutions for complex challenges, leads integration of services, mentors junior engineers, and contributes to development using Java, Python, and SQL, focusing on fraud prevention and cybersecurity.

Lead the design and development of risk assessment software solutions, ensuring maintainability and high performance; conduct testing and collaborate on code quality. Create full-stack applications using various technologies and improve existing systems.

The Senior Software Engineer will design, develop, and maintain scalable software solutions, oversee the software development lifecycle, and improve system performance and user experience.

The role involves enhancing developer productivity by creating solutions for cross-team challenges, building tools, and providing support within MongoDB's engineering environment. It requires collaboration, understanding customer needs, and mentoring junior team members.

The Escalation Engineer at MongoDB will solve complex customer issues, mentor team members, and contribute to internal projects, requiring a strong technical background and customer leadership skills.

The Senior Security Architect will design and implement security solutions, guide teams on secure practices, and ensure applications are resilient against threats, while leading assessments and establishing enterprise-wide security policies.

The Senior Financial Analyst will manage forecasting, P&L analysis, and provide financial support to drive strategic decisions within Capital One Canada.

The Senior DevOps Engineer will design, deploy, and maintain cloud-based systems, optimize DevOps pipelines, and troubleshoot complex issues in financial platforms.

As a Principal Associate, Data Analyst, you will analyze databases, design data visualizations, ensure data quality, and collaborate with business partners on data-driven strategies.

The Senior Staff Software Engineer leads software development projects, enhances engineering practices, mentors junior staff, and collaborates on technology strategies.

As a Software Engineer, you'll design, develop and support software products, focusing on backend, frontend, and data engineering, using various programming languages and methodologies.

The role involves leading the design and building of GenAI microservices, productionizing ML applications, optimizing workflows, and collaborating with various teams to enhance AI capabilities.

The role involves designing and executing software tests for automated driving software, analyzing test data, collaborating in Agile teams, and contributing to continuous improvement initiatives.

Seeking a Full Stack Software Engineer to develop user interfaces and backend systems, collaborate with teams, and manage cloud infrastructure.

The intern will assist in designing and developing novel AI models, improving deep learning systems, and processing data for deep learning tasks.

As a Senior Deep Learning Scientist at Block, you'll lead advanced machine learning projects focusing on deep learning and reinforcement learning, collaborate across teams, and innovate risk management solutions.

The Data Engineer will develop and manage data pipelines, collaborate cross-functionally, support project execution, and adhere to cloud governance practices in a hybrid work environment.

The Vice President of Data Science will lead strategic initiatives, manage a team of data scientists, and enhance data quality using AI, aligning business and data strategies with product goals.