Top Python Jobs in Toronto

Build and deploy production-scale LLM and ML systems: own end-to-end lifecycle, optimize GPU/Kubernetes deployments, implement production APIs, monitoring, CI/CD, collaborate with product, and set AI engineering best practices.

The Senior Site Reliability Engineer at iManage will build and maintain resilient platforms, drive reliability best practices, and support cloud infrastructure with automation and scalable solutions.

The Senior Financial Analyst will perform financial modeling, oversee forecasting and variance analysis, and support business decision-making through reporting and analysis.

Design and build scalable Python backend applications and RESTful APIs, develop and optimize prompts and Generative AI solutions (LLMs), integrate AI capabilities into enterprise systems, collaborate with architects and data specialists, and contribute to code reviews and continuous improvement.

Design, develop, and maintain GitHub Actions and Workflows to standardize CI/CD. Build automation in Python/Java/Groovy, collaborate with development, infrastructure, and security teams to embed DevOps/DevSecOps practices, improve delivery through scalable automation frameworks, and troubleshoot and optimize GitHub-based workflows.

Design and deliver enterprise-scale AI platform capabilities: architect cloud-native, scalable AI systems, build backend services and reusable platform components, define standards for deployment, observability, security and resilience, lead architecture and governance reviews, contribute hands-on development, and mentor teams to drive enterprise AI adoption.

Analyze Talent Acquisition and people data to identify hiring trends, bottlenecks, quality, efficiency, and equity opportunities. Partner with stakeholders to frame ambiguous questions, conduct rigorous analyses, validate data, monitor metrics, and deliver actionable recommendations. Lead analytics projects from requirements gathering through execution and impact measurement, while applying product management and design thinking to improve employee and candidate experiences.

The Data Engineer will develop and maintain data pipelines, ensure data quality, and collaborate with business teams to implement insightful data solutions.

Hands-on Senior Site Reliability Engineer responsible for improving infrastructure tooling and automation, building and supporting core applications, monitoring capacity and performance, troubleshooting incidents, participating in on-call rotations, and collaborating across teams to scale a multi-cloud, multi-region content serving platform and advance observability and SLO frameworks.

Lead technical vision and architecture across cloud-native platforms. Provide hands-on development, design and scalability guidance, mentor engineers, produce reusable solutions, and influence engineering excellence organization-wide.

Hands-on Staff Software Engineer responsible for technical design, architecture, and development of fault-tolerant, cross-functional microservice systems. Act as tech lead, improve developer experience, establish engineering best practices, and mentor junior/intermediate engineers.

Lead and deliver your team's quarterly goals, guide engineers through ambiguous problems, and collaborate with product, design, and analytics. Identify and resolve technical, process, and operational issues, support availability and on-call, enforce code and design quality, and mentor team members to grow talent and maintain high engineering standards.

Lead delivery of ML feature platform initiatives: design, build, and operate backend systems for feature creation, storage, backfilling and serving. Collaborate with product, design, and analytics, own quarterly goals, improve platform reliability and code quality, mentor engineers, and support on-call and operational monitoring.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Design, build, and operate an online feature store and associated batch/streaming pipelines. Optimize Postgres schemas for real-time feature serving, ensure reliability and freshness for ML models, lead technical enhancements, partner with cross-functional teams, mentor junior engineers, and contribute to code reviews and system design.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Twelve-week virtual fellowship teaching Palantir Foundry and AIP through live sessions and projects. Expect 5–10 hours/week, hands-on training, mentorship, certification opportunity, and potential interviews for employment. Program is unpaid.

Own and deliver high-availability, low-latency Trust & Safety systems across backend, web, and mobile. Lead engineering delivery, collaborate with product/design/analytics, improve operational metrics and on-call reliability, set code and design standards, and mentor teammates.

Lead pricing modeling and experimentation to optimize margin, conversion, and retention. Build elasticity and willingness-to-pay models, design A/B and bandit experiments, develop pricing automation (DealBot) and monitoring for AI-driven rate recommendations, own ETL/analysis/visualization, and partner with Finance, Risk, Product, and GTM teams to operationalize pricing intelligence.

As a Senior Software Engineer, you will lead and support backend system projects focusing on security within Kubernetes and cloud infrastructure.

You will lead engineers to meet quarterly goals, support product development, solve complex issues, and foster talent development in your team.

As a Strategic Finance Analyst II, you'll analyze and report on financial performance, build financial models, and collaborate with cross-functional teams to drive business outcomes.

Lead technical vision and architecture for AI-powered GTM systems, defining reference architectures, patterns, and governance for low-code and custom agentic solutions. Architect and prototype LLM orchestration, multi-system integrations, RAG pipelines, and event-driven data flows across Salesforce, NetSuite, Marketo, and cloud infrastructure while partnering with GTM leaders to deliver production-grade, auditable, and scalable automation.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, scams, and other abuse. Integrate diverse signals into low-latency serving and batch scoring, own feature pipelines and model lifecycle, develop AI-assisted triage and feedback loops, and partner cross-functionally to balance fraud reduction with legitimate customer access.

Drive post-silicon bring-up, characterization, qualification, and productization of advanced-node bitcoin mining ASICs from first silicon to mass production. Develop and maintain ATE test programs and screening strategies, perform PVT characterization and DOE, analyze wafer/package/ system data to improve correlation, yield, and system performance, and collaborate with foundry, OSAT, design, firmware, and manufacturing partners to implement corrective actions and production-ready processes.