Top Python Jobs in Toronto

The Senior Systems Developer will automate processes, build integrations, manage infrastructure utilizing modern tools, and mentor junior team members while enhancing automation strategy.

Drive architecture and implementation of an internal AI/agent platform: design agent runtimes and SDKs, define eval-driven release gates, safety, telemetry, and AuthX, partner with product teams to integrate reusable capabilities, set standards for prompt management and observability, write and ship production code, and mentor engineers.

Lead product and application development, design scalable microservices-based architectures, integrate AI-powered developer tools, collaborate with product and design, champion agile practices, and drive technical innovation across full-stack teams to deliver high-quality software.

Support optimization of the Fund's balance sheet, liquidity, and collateral by analyzing and executing funding strategies, assisting Delta One and funding trades, monitoring positions and collateral, building analytical tools, and improving processes while collaborating with investment, operations, and technology teams.

Design and ship automation, internal tools, scripts, and integrations to streamline Customer Operations and Delivery workflows. Partner with stakeholders to identify bottlenecks, prioritize opportunities, measure impact, and create reusable automation patterns that improve efficiency, consistency, and operational capacity.

Design and implement scalable, low-latency backend systems for Lyft Pricing. Lead multi-person projects, write maintainable and tested code, mentor teammates, participate in incident response, and collaborate with Product and Science on pricing solutions.

Partner with the Self-Serve product team to measure and optimize the acquisition-to-engagement funnel. Build reusable datasets and dashboards, validate instrumentation, run deep-dive analyses and experiments, and translate insights into narratives for technical and non-technical stakeholders to inform product and go-to-market strategy.

Senior Business Data Scientist, Marketing partners with cross-functional leaders to drive customer analytics across acquisition, onboarding, engagement, retention, monetization, and expansion. Lead deep-dive analyses, experimentation and impact evaluation, KPI governance, forecasting, and predictive analytics. Translate complex business questions into actionable recommendations, build reusable decision frameworks and scalable analytics assets, mentor analysts, and communicate executive-ready insights to influence strategic priorities and improve long-term customer value.

Lead and mentor an AI engineering team to design, build, and deploy production-grade LLM, NLP, and generative AI solutions on Azure. Architect RAG frameworks, conversational agents, and scalable AI workflows; collaborate with stakeholders to translate business needs into reliable, monitored AI services.

Lead and mentor an AI engineering team to design, build, and deploy production-grade LLM, NLP, and generative AI solutions on Azure. Architect RAG frameworks, conversational agents, and scalable AI workflows; engage stakeholders, validate model performance, and support AI governance and continuous improvement.

Lead and mentor an AI engineering team to design, build, and deploy production-grade LLM, NLP, and generative AI solutions. Architect Azure-based AI systems (Azure OpenAI, Azure AI Services), implement RAG and vector DB workflows, develop conversational agents, collaborate with stakeholders, and establish testing, monitoring, and governance for continuous improvement and reliability.

Design, develop and optimize microservices, APIs and reusable libraries to run ML algorithms in production. Improve platform scalability, testability and team velocity; mentor squad members; collaborate on task prioritization, DevOps, component/integration testing, and quality assurance.

Lead and deliver agentic workflow and program intelligence initiatives: define opportunities, structure ambiguous work into programs, integrate systems and data pipelines, drive automation, partner with engineering, infrastructure, and data teams, and produce executive-ready reporting.

Design, build, and maintain reliable, scalable ETL/ELT pipelines, support data migrations, prepare analytics and AI-ready datasets, implement data quality and observability, support Power BI models, and collaborate with analytics, IT, governance, and AI teams to deliver production data solutions.

Lead monthly and quarterly FP&A deliverables, manage and coach two analysts, standardize templates and workflows, prepare executive-ready reporting and variance analysis, support long-range planning, BI integration, OneStream enhancements, and provide backup treasury support.

Design, implement, operate and support on-prem and cloud-based RPA and agentic AI automation platforms. Lead production support, perform code reviews, translate business requirements into designs and code, manage integrations, enforce security and SDLC standards, and evangelize operational best practices across the organization.

Lead DFT insertion and ATPG for ASIC designs, perform post-silicon bring-up and ATE test program debug, script and automate DFT/ATPG flows, interface with physical design and RTL teams, and support synthesis through place-and-route timing closure and tape-out signoff.

The Full Stack Software Engineer will develop and deliver ML-powered applications, working with cloud services, APIs, and modern front-end frameworks while actively participating in technical design and collaboration within a project pod.

Manage and grow a small ML/GenAI engineering team while remaining hands-on: design and implement GenAI systems (agents, RAG, tool use), build NLP solutions (NER, classification, retrieval, summarization), partner with PMs and engineers to scope and ship features, and coach engineers on technical and career growth.

As a Senior Platform Engineer, you will enhance the developer experience by building AI platforms, managing infrastructure, and collaborating across teams to improve software delivery.

Design, integrate, and test robotic and electromechanical systems for a medical device: develop mechanisms, select and integrate motors/sensors/encoders, create CAD and BOMs, build and test prototypes, debug hardware/firmware, develop automated and HIL test systems, and work with suppliers and cross-functional teams to improve reliability and manufacturability.

Lead Internal Audit Analytics & AI strategy; integrate analytics and AI across the audit lifecycle; develop scalable analytics, automation and responsible AI solutions; manage and mentor an analytics team; provide technical direction for Power BI, Alteryx, SQL, Python and LLM tools; partner with audit and business stakeholders and present insights to senior management.

Drive applied AI for R&D by analyzing structured and unstructured data, developing representation, reinforcement, and generative learning methods, implementing ML and optimization algorithms, building reproducible workflows and toolkits, and collaborating with scientists and engineers to improve modeling, simulation, and research efficiency for quantum-computing R&D.

Design, optimize, test, and benchmark prompts and agent tool descriptions to improve AI performance. Collaborate with Customer Success and Data Science, automate evaluation and testing, document prompt practices, and research new NLP and model-specific prompting strategies.

Own, harden, and operate bare-metal virtualization, HA storage, Linux pools, networking, monitoring, and incident response. Automate configuration and deployments, run audits, manage user environments, and act as primary on-call responder to ensure continuous uptime and security.