Top Python Jobs in Toronto

The Cloud Infrastructure Engineer leads the design and support of AWS cloud infrastructure, automating deployments and collaborating with teams to ensure system performance and security.

The role involves managing HPC infrastructure, deploying automation tools, troubleshooting issues, and supporting ML teams in optimizing cluster operations.

The Machine Learning Engineer / Data Scientist will build and deploy machine learning solutions, working through the ML lifecycle from problem framing to production.

The Manager, Data Solutions leads the design and delivery of scalable data solutions, managing team members while collaborating across functions to optimize client outcomes.

The Data Solutions Consultant designs, builds, and applies data and machine learning solutions to support analytics and omnichannel initiatives, collaborating with multiple teams and delivering insights through data pipelines and model deployment.

Lead complex incident investigations and forensic engagements, analyze data across systems, and translate technical findings into business insights while mentoring junior analysts.

This role involves leading vulnerability management programs, optimizing security processes, advising clients on risk mitigation, and reporting on security metrics while collaborating with technical teams.

The Sr. Manager will develop and implement risk reporting frameworks, ensure compliance with investment policies, provide in-depth risk analysis, and enhance data visualization tools to support risk discussions.

The role involves building features for an AI platform, developing autonomous agents, leading deployments, and integrating AI into enterprise sectors.

Design and maintain scalable data platforms and pipelines, optimizing workflows and ensuring data security while collaborating with stakeholders to deliver tailored solutions.

As a Senior Software Engineer, you will develop software for supply chain and risk management, focusing on APIs, microservices, and automation.

The Data Transfer Engineer manages, operates, and optimizes Axway Managed File Transfer services while migrating these services to Kubernetes and implementing IaC principles.

As a Staff Software Engineer, you will lead the development of backend systems for LLM applications, ensuring quality and scalability while collaborating closely with cross-functional teams.

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

The AI Architect will design, code, and deploy hands-on AI solutions, leveraging AWS and Agentic AI patterns while leading technical team growth.

The GTM Data Manager oversees data integration, quality assurance, and analysis to support revenue operations and strategic GTM planning.

As Payments Lead, you will drive technical direction and delivery of software solutions, oversee payments infrastructure, and ensure operational excellence.

You will develop reusable components for DevSecOps, automate security controls, mentor teams, improve internal tooling, and support operational success in a cloud environment.

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

As a DevOps Developer, you'll design and maintain Python-based services on AWS, manage CI/CD pipelines, optimize databases, and collaborate with teams to enhance features, ensuring security and uptime.

As a Fund Accountant, you will manage fund accounting, reporting, and post-trade operations while collaborating with finance and technical teams.

Drive advancements in CI/CD, ensure build system reliability, develop tooling for remote environments, and promote engineering excellence.

Lead technical initiatives in ML product development focusing on LLM and NLP systems. Mentor engineers, design models, and oversee data strategies while ensuring operational excellence and model performance.

The Data Engineer will build and maintain reliable data pipelines and systems for financial forecasting, ensuring data quality and working with stakeholders to support analysis needs.

As a Technical Implementation Specialist, you will configure and implement ODAIA's AI-driven platform, collaborating with customers to integrate data assets and build automated ETL workflows.