Top Python Jobs in Toronto

Build and scale backend services, infrastructure, and data systems supporting crypto, Web3, wallet, tokenization, and decentralized finance products. Design, test, release, and operate high-scale distributed systems with strong reliability and correctness. Lead complex technical initiatives, collaborate across engineering teams, mentor junior developers, and improve performance, efficiency, and risk management.

Build and own scalable backend services, infrastructure, and data systems for crypto, Web3, wallet, tokenization, and decentralized finance products. Integrate traditional financial infrastructure with blockchain systems, smart contracts, chain indexers, and decentralized exchange flows. Design correctness-critical systems handling customer assets, improve performance and engineering productivity, and collaborate with product, compliance, platform teams, and external partners.

Designs and maintains Azure-based ETL/ELT pipelines, data models, KPI marts, and reporting datasets for financial and operational analytics. Investigates data discrepancies, performs reconciliation and root-cause analysis, implements data quality controls, and supports QA, UAT, and production releases. Partners with Finance, Business, Analytics, and Technology teams to translate requirements into scalable solutions, document metrics and data flows, and automate processes.

Design, build, and deliver scalable Salesforce solutions across Sales Cloud, Data Cloud/Data360 and Agentforce. Lead data integration, identity resolution, data modelling, AI-assisted workflows, Flow/Apex development, LWC/Visualforce components, and platform administration. Own end-to-end delivery, governance, data quality, and release management while partnering with sales and data teams to implement automation and AI-enabled sales workflows.

Provides end-to-end application support for SWIFT messaging, mainframe accounting, custody, and financial transaction systems. Responsibilities include monitoring, incident management, security control enforcement, hybrid mainframe-cloud integration, DevSecOps automation, observability, resilience improvements, root-cause analysis, and audit readiness. The role supports IBM Z and Tandem/NonStop environments alongside AWS and Azure platforms, collaborating with infrastructure, security, development, operations, and vendor teams during modernization and migration initiatives.

Executes independent testing of financial crime risk management controls across enterprise technologies, including transaction monitoring, name screening, client risk rating, and reporting systems. Performs design and operating effectiveness testing, analyzes evidence, identifies and escalates issues, follows up on findings, documents results, and provides recommendations to control partners. Uses SQL, Python, or other scripting languages for basic querying and parsing, and collaborates with testing teams and business stakeholders.

Develop and deploy machine learning pipelines and advanced AI models for drug discovery using complex biomedical and DNA-Encoded Library datasets. Responsibilities include data preprocessing, predictive modeling, deep learning, exploratory analysis, visualization, MLOps, experiment tracking, and reproducible workflows. Collaborate with structural biologists, medicinal chemists, and bioinformaticians, communicate findings to diverse audiences, and evaluate emerging approaches for molecular property prediction and de novo drug design.

Build and own battery and price-responsive load optimization models using energy market and meter data. Backtest models, track experiments in MLflow, integrate forecasting inputs, and partner with data engineering and data science teams. Expand optimization capabilities across North American energy markets, including IESO, AESO, PJM, NYISO, MISO, and ERCOT.

Supports requirements management for rail and transit projects, including organizing requirements, maintaining traceability, coordinating rail systems interfaces, assisting audits, and supporting requirements engineering activities. Collaborates with multidisciplinary teams and project managers, presents technical information, applies rail and systems engineering standards, and contributes across project lifecycles. The role is suited to an engineering graduate with interest in transportation infrastructure and familiarity with requirements management tools.

Develop marketing mix and econometric models to measure channel effectiveness, ROI, marginal returns, and budget optimization. Manage data preparation, ETL pipelines, statistical modeling, forecasting, machine learning, scenario simulations, and incrementality testing. Translate complex findings into actionable recommendations and communicate insights to technical and non-technical clients. Collaborate with project leads and stakeholders while managing timelines, deliverables, and expectations.

Build and lead development of NVIDIA’s open-source NeMo Core Platform for executing, evaluating, deploying, and optimizing agentic AI systems across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments. Responsibilities include designing platform APIs, plugin architecture, job orchestration, SDKs, reliability and observability capabilities, testing, performance improvements, technical leadership, code reviews, mentoring, and cross-team problem solving.

Performs GIS analysis, spatial queries, data conversion, database management, and custom map and report production. Develops and maintains vector, raster, and tabular data; supports field data collection systems; conducts mapping QA/QC; resolves project data issues; and collaborates with field teams and internal departments on environmental projects. Requires ArcGIS experience, GIS data and cartographic knowledge, analytical skills, and familiarity with Python, SQL, and Esri Arcade.

Develops and maintains economic capital, financial condition testing, and stress-testing models for TD Insurance entities. Responsibilities include regulatory compliance with OSFI guidelines, capital ratio recommendations, scenario analysis, reporting, model governance, peer review, and executive stakeholder support. The role requires actuarial judgment, quantitative analysis, programming, strong communication, and collaboration across risk, audit, and business teams.

Calculate and report Wholesale Banking leverage exposures under OSFI requirements. Analyze regulatory and management reporting, investigate calculation issues, improve methodologies and controls, identify leverage optimization opportunities, and advise Finance, Front Office, Risk, and Technology stakeholders. Serve as a subject matter expert while supporting governance, process improvements, and strategic balance-sheet decisions.

Leads enterprise-wide quality assurance transformation and continuous improvement across mobile, web, API, database, and data platforms. Develops QA strategies, roadmaps, test plans, automation frameworks, and quality standards; coordinates testing initiatives across teams; improves testability, performance, and test data management; analyzes results and metrics; and drives automation and engineering workflow enhancements. The role is primarily strategic and transformational rather than hands-on testing execution, with potential future people-management responsibilities.

Design, build, deploy, and operate reliable software, APIs, services, data pipelines, and cloud applications. Apply AI and machine learning to business workflows, develop prototypes, evaluate technical approaches, and measure software and model performance. Lead complex technical projects, make architecture tradeoffs, maintain production systems, improve reliability, and mentor engineers while collaborating with data scientists and business stakeholders.

Develop marketing mix and econometric attribution models for advertising clients. Responsibilities include data preparation, ETL automation, statistical and machine learning modeling, scenario analysis, incrementality testing, budget optimization, and model validation. The role translates analytical findings into strategic recommendations and communicates insights through visualizations and presentations to technical and non-technical stakeholders.

Designs and develops internal software tools, manages technical project plans and timelines, coordinates development and operations teams, facilitates project meetings, tracks action items, documents requirements, and communicates project status to stakeholders. The role also supports change management, project checkpoints, deployments, and workflow automation using mainstream programming languages and AI tools.

Build scalable backend infrastructure, APIs, and data pipelines; develop React/Next.js frontends; implement production AI workflows; ensure reliability, observability, and performance; write well-tested code; collaborate with clients and contribute to architecture and design.

Conduct market research and analyze investment fund and structured product data to support regulatory processes, risk analysis, policy initiatives, and operational oversight. Maintain datasets, models, dashboards, and performance reports; assess data quality and market trends; identify emerging risks; and present findings to management, policy leads, and committees. Collaborate with enterprise data teams to obtain and manage data access.

Designs scalable enterprise application architectures, solution blueprints, modernization roadmaps, and cloud-first strategies. Provides technical leadership across the application portfolio, evaluates Microsoft technologies, supports development and DevOps lifecycle practices, and governs architecture, security, scalability, and performance. Leads responsible AI capability integration, documentation, architecture reviews, stakeholder collaboration, and team mentoring. The role requires extensive IT, software development, application architecture, Microsoft Azure, enterprise AI, and governance experience.

Leads the analysis, design, implementation, integration, testing, support, and continuous improvement of enterprise applications in a Microsoft-centric environment. The role manages application lifecycles, cloud and AI-enabled solutions, incident resolution, security and compliance, documentation, stakeholder and vendor collaboration, and quality assurance. It also provides technical leadership and mentorship while supporting automation, application reliability, and responsible AI adoption.

Design and own firmware test automation frameworks, hardware-in-the-loop infrastructure, CI/CD integration, diagnostics, telemetry, and test reporting for photonic hardware. Debug failures across firmware, boards, instruments, fixtures, and test code. Define test strategies, improve framework reliability, support embedded systems interfaces, participate in design reviews, document architecture, and mentor engineers.

Lead the transformation of a profitable legal services company into an AI-native consumer law platform. Own the product and technology roadmap, build AI workflows across practice areas, improve the client portal, support law firm acquisitions, and hire and develop engineering, product, design, and data teams. The CTO will remain hands-on with coding while setting priorities and scaling the platform.

Lead end-to-end delivery of AI solutions for Risk, Legal, Procurement, and Compliance, focusing on fraud/financial-crime detection. Shape roadmaps, manage multidisciplinary teams, perform hands-on AI engineering and prototyping, ensure security, governance, model risk and responsible AI, and drive enterprise integration and adoption to realize measurable business outcomes.