Top Python Jobs in Toronto

The Sr. Software Engineer II will design, develop and maintain distributed systems, ensuring scalability, reliability, and performance while leading and mentoring team members.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.

Own end-to-end ML projects focused on recommendation and LTV signals: develop, evaluate, and deploy models; build training/scoring pipelines; run A/B tests; monitor production models; collaborate with product and analytics; mentor colleagues.

The Senior Product Analyst will automate data collection, analyze product metrics, conduct A/B tests, and support product hypothesis generation.

Develop and maintain enterprise software applications, focusing on back-end development, API development, and ensuring application security while contributing to software improvement processes.

The Senior Data Scientist will lead data science strategy, develop models for lead qualification, fraud detection, and underwriting, and collaborate with product and engineering to enhance financial products.

The Software Engineer will design and implement systems across the stack, focusing on AI-native engineering principles, distributed systems, and high-performance data processing.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

The GTM Engineer will enhance and manage enrichment infrastructure, scoring pipelines, and event tooling while writing production code and ensuring data accuracy within GTM operations.

The Developer Experience Engineer will own and enhance SDKs and open-source projects, build developer tools, and improve the overall developer experience while engaging with customers for feedback.

The Senior Analyst, Business Systems will optimize workflows through automation, measure team capacity, deploy AI tools, and manage process redesigns to improve efficiency.

Design and develop backend systems for a Trading Platform, focusing on low-latency execution, risk management, and performance optimization using advanced Java techniques.

The Application Support Engineer is responsible for L2/L3 support in a cryptocurrency trading environment, managing incidents, user support, and optimizing processes for system stability.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

Work on embedded QA for device firmware and hardware: design and run automated tests, perform system-level testing, maintain lab/test tools, collaborate with firmware and hardware engineers, and document test plans and results in an Agile team.

As a Manager of Credit Risk Strategy Oversight, you will provide risk analytics and oversight for Canadian Retail lending, assessing proposals, monitoring portfolio performance, and enhancing credit decision-making.

The Senior Manager will oversee credit risk strategies, ensuring alignment with regulatory practices while providing analytical insights and influencing decision quality. Responsibilities include assessing credit proposals, conducting portfolio analytics, and mentoring team members.

Design, develop, configure, and support Murex MX.3 solutions across front-, middle-, and back-office. Build interfaces, workflows, reports and batch processes; support trade lifecycle, market data, pricing, risk and settlement. Troubleshoot production issues, participate in upgrades, collaborate with traders and risk/ops teams, and produce technical documentation within banking governance.

Lead financial reporting, forecasting and data analysis for project portfolios and fleet operations. Build models, tools and processes to measure project benefits, present insights to stakeholders, support process improvements, and collaborate with FP&A and cross-functional teams to optimize performance and reporting.

Design, develop, test and support cloud data pipelines, transformations, and data models using Databricks, Azure/AWS services and ETL tools. Implement lakehouse/data warehouse solutions, perform orchestration, provide production support, and follow SDLC and change/incident management in a public-sector environment.

Lead applications systems analysis and programming across the full SDLC. Design and implement application solutions, integrate business functions, resolve complex problems, coach mid-level developers, manage projects, and ensure architecture compliance and regulatory/risk controls.

Lead design and implementation of application systems, analyze complex business and system processes, coach developers, manage cross-functional projects, integrate and deploy products, and ensure compliance and risk-aware decision making.

As a Senior Product Engineer, you will manage the full lifecycle of software features, engage with customers, and build scalable solutions using AI-assisted tools in a collaborative environment.

Analyze complex datasets, build interactive dashboards, run predictive and statistical analyses, enforce data governance, automate reporting, and partner cross-functionally to deliver actionable insights.