Top Python Jobs in Toronto

The Lead Software Engineer will design and develop full-stack applications for construction project management, ensuring intuitive data workflows and collaborating across teams to enhance user experience and performance.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

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.

Lead development of back-end systems and end-to-end data/ML pipelines, build and deploy generative AI workflows, design and consume performant APIs, contribute to AI/ML architecture, mentor engineers, and communicate progress to leadership.

Develop and maintain backend services and data pipelines to support AI/ML and GenAI workflows. Build and consume secure, scalable APIs, work with microservices on Kubernetes, collaborate on design and code review, and grow applied ML skills under senior mentorship.

Drive strategy and execution for simulation and neural reconstruction products: conduct customer discovery, define roadmaps, translate technical AI and simulation needs into scalable features, track success metrics, collaborate with engineering and GTM, and support launches. Role includes frequent customer interaction and on-site visits.

Build, train, evaluate, and deploy production computer vision models (detection, segmentation, OCR, barcode decoding, visual search). Own dataset quality, tooling, model releases, inference exports, and monitoring. Collaborate cross-functionally to improve model performance, robustness, and deployment for retail robotics and edge environments.

Lead design, integration, and optimization of production robot perception pipelines (detection, segmentation, depth, tracking, SLAM). Bridge computer vision and robot autonomy, optimize real-time inference on edge GPUs, debug field failures, define system benchmarks, and provide technical leadership and mentorship across teams.

Own and improve annotation systems, workflows, and tooling to produce high-quality training data. Build Python and web tools, integrate model-assisted labeling and active learning, implement data quality checks, support dataset versioning and evaluation, and coordinate cross-team efforts to measure and improve annotation throughput and model impact.

Optimize end-to-end GPU performance for real-time autonomous driving workloads: develop and optimize parallel GPU algorithms and inference pipelines, profile and eliminate bottlenecks across computation and memory, debug GPU software for latency/throughput improvements, and collaborate on onboard GPU software architectures for embedded platforms.

Deliver end-to-end voice AI solutions for enterprise customers: prototype to production, build full-stack integrations (Python, JavaScript/TypeScript) with CRMs/ERPs, partner with sales, scope and resolve blockers, codify reusable patterns, translate field feedback to product recommendations. Fluent Mandarin required to support China-based customers; occasional international travel may be needed.

Senior hands-on full-stack engineer who leads architecture, drives cross-team technical roadmaps, implements scalable Django/React systems, improves CI/CD and testing practices, mentors engineers, and partners with product, clinical, and executive stakeholders to translate business needs into durable technical solutions.

Lead liquidity forecasting, scenario analysis and credit facility management for Northleaf funds. Recommend financing strategies, optimize borrowing capacity, manage third-party providers, build reporting and automation, and mentor junior team members to support efficient capital deployment across private equity, private credit and infrastructure funds.

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.

Design, build, and maintain scalable, fault-tolerant backend services and data pipelines for an AI-driven cybersecurity platform. Implement secure APIs, optimize performance across distributed systems, establish backend best practices and CI/CD, write well-tested Python code, and mentor junior engineers.

Design and build operational data systems, including pipelines, storage layers, and APIs for near real-time enforcement and insights, balancing streaming and batch paradigms.

Design, build, and deploy ML models across diverse use cases; work with managed cloud ML platforms and containerized solutions; collaborate with engineers on production integration and MLOps best practices; preprocess and analyze large datasets; mentor teammates and influence technical direction; translate complex ML concepts for technical and non-technical stakeholders.

As a Senior Full-stack Developer, you'll code back and front ends for the Drag Me apps, maintain app data, identify bugs, and improve operations while collaborating with a cross-functional team.

The Senior Backend Engineer will design and maintain backend services for core business functions, ensuring reliability and scalability while collaborating with cross-functional teams.

Design and deploy AI-powered workflow solutions, conduct requirements discovery, implement integrations, and build relationships with customers.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

The Principal/Staff Engineer will lead the technical direction of the platform, overseeing systems architecture, driving complex initiatives, and ensuring scalability and reliability while mentoring the engineering team.