Top Python Jobs in Toronto

Support the development of IFRS 17 documentation and testing for financial data and insurance contracts, using Python for automation and analytics.

As an Insights Analyst, you'll develop analytics and visualizations, build dashboards, and work with data to support business decision-making, optimizing metrics and KPIs.

As an AI Engineer, you will design, develop, and deploy machine learning models, collaborate with teams to integrate AI solutions, and build robust data pipelines. You'll optimize models for performance while staying updated with the latest AI research.

The Data Engineer will design and develop a Dynamic Data Engineering framework, enhance data lake platforms, and ensure accuracy of data for analysis and reporting.

As a Pricing Analyst, you will analyze pricing and monetization performance using data analysis and build dashboards. You will partner with various teams to inform pricing strategies and improve monetization of AI capabilities.

The role involves designing and developing machine learning solutions for fraud detection and prevention. Responsibilities include analyzing datasets, creating models, collaborating on projects, and communicating results effectively.

Develop enterprise ML platform, manage Kubernetes clusters, build tools for ML operations, and collaborate with teams to meet specifications.

The Lead DevSecOps will design reusable components, implement automation and security measures, mentor teams, and enhance toolsets for production services.

The Cyber Security Manager performs penetration tests, vulnerability assessments, and manages client interactions to enhance cyber security. Responsibilities include analyzing IT environments, managing security testing efforts, and articulating findings to clients.

The Senior Data Analyst develops data pipelines and performs statistical analysis to drive network performance, collaborating with cross-functional teams and using AI-driven solutions.

Lead operational excellence and continuous improvement for API ecosystems by ensuring stability, monitoring performance, and collaborating with cross-functional teams to enhance user experiences and solutions.

Lead the design and implementation of cloud-native solutions using GCP/AWS. Responsible for ensuring robust and scalable systems aligned with project goals.

The Cloud Platform Engineer will enhance CI/CD systems on Azure, automate workflows, resolve deployment issues, maintain cloud infrastructure, and uphold security standards.

As a Senior Associate in CFO Advisory, you will improve finance functions, execute projects, mentor junior resources, and enhance business development.

As a Compliance Data Analyst at Lyft, you will analyze compliance processes, develop data pipelines, create reports, and collaborate cross-functionally to ensure regulatory obligations are met.

Lead AI projects from conception to deployment, optimize AI performance, implement scalable solutions, and mentor team members in a hybrid work environment.

Lead a team of backend engineers, ensuring high-quality, scalable backend systems align with product roadmaps, while mentoring and managing team performance.

The Senior Associate will conduct fundamental research on energy sector investments, develop financial models, analyze industry trends, and collaborate with investment professionals.

The primary responsibility is to conduct in-depth fundamental research focused on traditional energy sector investments, working closely with the investment team to assess public and pre-IPO opportunities.

Design, build, and support technology solutions while collaborating with business and tech teams in an Agile environment. Foster innovation and continuous improvement in software engineering practices.

The Data Scientist will manage ML/AI use cases, design models, enhance data products, and mentor team members while collaborating on innovative analytics solutions.

Lead the design, implementation, and management of enterprise data storage and network infrastructure, ensuring security, availability, and performance. Mentor team members and participate in 24/7 on-call support.

The Senior Data Scientist will design and maintain metrics, reports, and dashboards, develop algorithms, conduct data analysis, and collaborate with teams to enhance business decisions.

Lead initiatives to enhance developer infrastructure by architecting systems, improving CI/CD pipelines, and mentoring engineers. Focus on operational excellence.

The Senior Software Engineer will build security features for an AI platform, develop secure agents, and perform application security testing.