Top Python Jobs in Toronto

Design, build, and maintain scalable data pipelines, optimize Databricks/Spark and Delta Lake architectures, deliver trusted datasets for analytics and ML, implement observability and data quality, and drive platform architecture and team mentorship.

Lead design and delivery of scalable, cloud-native platform capabilities and ML-integrated applications. Oversee full SDLC, architecture, reliability, CI/CD, observability, and incident response. Provide technical leadership, mentor engineers, collaborate with stakeholders, and drive continuous improvement to support high-availability distributed fulfillment systems.

Design and harden mission-critical telecom infrastructure: SIP/VoIP signaling, RTP media flows, distributed backend and event-driven systems. Own architecture, reliability, operability, and performance across protocol, media, and API layers while using AI-augmented engineering workflows to accelerate development.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Responsible for financial settlements, reconciling transactions, analyzing settlement data, improving workflows, and collaborating across teams to ensure accuracy in financial reporting and support decision-making.

The Developer Relations lead will build a developer community, create technical content, run workshops, and represent ai& at events. The role combines technical skills with community engagement, focusing on authentic relationships and developer feedback.

As a Senior Quality Engineer, you'll lead testing infrastructure projects, collaborate with teams to enhance testing systems, and develop analytics tools while maintaining quality at scale for rapid development cycles.

As an ML Infrastructure Engineer, you'll develop platforms and solutions for running ML jobs efficiently, establish CI/CD practices, and lead initiatives in technology alignment.

The Mission Engineer bridges communications physics and software orchestration, integrating and optimizing system models and software for wireless networks, diagnosing issues in live environments.

Design and operate distributed inference systems for LLMs, build large-scale data pipelines, and debug production issues while collaborating with researchers and ML engineers.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Lead synthesis, timing convergence, and implementation readiness for AI accelerators. Own synthesis flows, SDC constraints, timing closure, physical-aware optimization, vendor coordination, and apply automation/AI to improve QoR and timing debug across multi-million-gate designs.

Lead and grow SQUIRE's Data organization as a player-coach, owning long-term data architecture, building reliable Snowflake pipelines, setting standards for modeling and data quality, hiring and budgeting for a 5+ person team, partnering cross-functionally, auditing integrations, and enabling AI/LLM use cases while remaining hands-on for high-risk technical work.

As a Site Reliability Engineer, you will design, implement, and maintain scalable infrastructure, ensure system reliability, automate processes, and collaborate with engineering teams.

As a Senior Support Engineer, you will enhance customer support for LanceDB by building infrastructure, maintaining knowledge-bases, troubleshooting customer issues, and collaborating with engineering teams. Your expertise in distributed databases and proficiency in Rust and Python will help optimize cloud-native database deployments.

As a Senior Digital Hardware Design Engineer, you will design complex PCBs, manage the design process, verify prototypes, and resolve customer issues.

Develop and optimize full-stack software and algorithms for robotic manufacturing systems. Design, implement, test, and integrate AI-driven software, run experiments to improve performance, participate in design and code reviews, and collaborate cross-functionally to deliver robust, scalable solutions.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The GTM Engineer will design, build, and automate systems for go-to-market strategies using coding, data integration, and analytics.

Embed with enterprise customers to design, build, and deploy production agentic AI workflows. Integrate platform with customer systems, handle security and compliance reviews, drive adoption and expansion, and feed product improvements based on field signal.

The Software Developer will design optimization software, develop features, analyze algorithms, and collaborate with R&D teams to enhance product quality.

The role involves designing and improving optimization software, debugging, analyzing algorithms, collaborating with R&D and clients, and writing technical documents.

Embed with enterprise customers to deploy production agentic AI workflows: integrate data sources, identity, CRMs and APIs; handle security, SSO/SCIM, isolated VMs and compliance; drive adoption, instrument usage, and feed product improvements to scale deployments.