Top Python Jobs in Toronto

The AI Engineer will design and develop enterprise-grade AI solutions, focusing on multi-agent workflows, integrating LLMs, and establishing observability for AI systems.

The Principal Cloud Platform Engineer will lead the architecture and evolution of Azure cloud platforms, ensuring automation, compliance, and secure environments while mentoring mid-level and junior engineers.

The Junior Machine Learning Engineer will build and optimize machine learning models, enhance data pipelines, and automate analytics solutions.

The Senior Cloud Architect will design and implement cloud solutions, drive DevOps culture, and manage short to medium-term cloud initiatives focusing on technology and application architecture.

The Senior Risk Analyst will develop and apply analytical solutions for counterparty credit risk, working with cross-functional teams to monitor and report risk metrics.

The Decision Intelligence BI Analyst role involves using AI and ML techniques to analyze large data sets, develop predictive models, and collaborate with teams to enhance data-driven decision-making and improve business processes.

The role involves designing and developing AI/ML models, conducting analyses, optimizing algorithms, and interpreting results to solve complex financial problems.

The Senior Manager, Wealth Leads & Campaigns drives revenue through analytics-led client acquisition and campaign enablement, supporting various segments and ensuring execution aligned with business strategies.

The Vice President, Data Scientist will develop and implement machine learning models to enhance algorithmic trading strategies and provide data-driven insights for Investment Banking and Corporate Banking.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

As a Data Scientist, develop machine learning models to support trading strategies, collaborate with teams, analyze data, and improve trading performance.

The Risk Operations Lead will manage KYC/B, AML, transaction monitoring, credit risk, and collections, enhancing risk functions and leading the team.

The Product Analyst will oversee product analytics, collaborate with teams, define metrics, build dashboards, and improve data quality in a hybrid work environment.

The role involves managing Jira/Confluence, overseeing ITSM processes, executing migrations, and providing strategic support while ensuring compliance and performance in a financial services setting.

Lead Java AI Developer responsible for application systems analysis and programming, enhancing risk management systems, and guiding mid-level developers. Requires in-depth Java and AI tool expertise.

The Lead Java Risk Developer leads application systems analysis, supporting risk management in trading, and manages project implementations while guiding developers and ensuring compliance with standards.

The Vulnerability Management Lead oversees the vulnerability management program, ensuring effective identification, assessment, and remediation of vulnerabilities across varied environments.

The role involves leading engineering teams in product development, driving innovation in software architecture, and integrating AI tools while providing mentorship and technical authority.

The role involves assessing internal controls, participating in audits, using data analytics for audits, and preparing management reports.

The AI Engineer will design and develop scalable AI solutions for finance, ensuring compliance and collaboration across teams. Responsibilities include coding, model lifecycle management, automation, and technical mentoring.

As a Founding Forward Deployed Engineer, you'll deploy AI solutions in customer environments, enhance product integration, and lead technical efforts to ensure successful implementations in the pharmaceutical sector.

The Associate Data Engineer will perform data analysis, develop ETL jobs, support teams with data issues, and ensure data compliance with standards.

As an Applied Machine Learning Scientist II, you will design and implement AI solutions using various techniques, including Agentic and Generative AI, while collaborating with stakeholders to address business problems and ensure robust solutions.

The Associate Data Engineer will analyze data, develop ETL processes, support testing, ensure compliance with data standards, and collaborate with teams to resolve data issues using Azure technologies and SQL.

Lead the structural analysis of reactor pressure vessels and internal components, ensuring compliance with engineering standards, particularly ASME BPVC Section III. Responsibilities include finite element analysis, developing engineering solutions, preparing technical documentation, and mentoring junior engineers.