Top Python Jobs in Toronto

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

The Technical Product Solutions Lead will design, develop, and implement configurations for Luma Solutions, focusing on data models, workflows, and user training while ensuring quality and adherence to best practices.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As a Founding Engineer, you'll develop backend systems, optimize applications, and influence technical direction for an AI-powered knowledge platform.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

Lead the design and development of SCADA systems for renewable energy projects. Collaborate with teams, mentor engineers, and ensure compliance with standards.

The Senior Backend Engineer will develop data science tools, design APIs, manage projects, and support enterprise IT integration. Leadership in coding and collaboration needed.

As a Staff Technical Artist, you will lead the creation of scalable art pipelines, implement innovative tools, mentor senior artists, and ensure cross-functional collaboration while enhancing visual quality and performance.

The DevOps Architect focuses on enhancing platform reliability through CI/CD automation, Kubernetes management, and collaboration with SREs for efficient deployments and operational excellence.

The role involves designing and building event-driven data services on AWS, focusing on real-time streaming, microservices, and integration with various AWS data services, ensuring scalability and quality.

Lead development of platform APIs and scalable microservices using Kotlin/Java (and Python), build integrations, work with relational and non-relational datastores, mentor engineers, ensure monitoring and reliability, and collaborate with cross-functional teams.

The Engineering Manager will lead the Treasury team, ensuring high reliability for money movement systems, manage engineers, and improve operational excellence while collaborating with cross-functional teams.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

As a Senior Formal Verification Engineer, you will verify ASICs using formal methods, collaborate multi-functionally, lead methodology enhancements, and mentor junior engineers while ensuring compliance and correctness.

Build and run scalable AI-first GTM automation: design multi-agent architectures, integrate LLM APIs and marketing/CRM platforms, implement CI/CD and observability, and enable partner teams with templates, docs, and training to drive measurable GTM outcomes.

Design and maintain integrations with third-party security platforms, enhance APIs, and develop CI/CD processes for the Censys Platform while focusing on customer needs and emerging technologies.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

As an Associate Product Manager, you'll drive product segments, engage with customers, draft specs, collaborate with teams, and utilize data for decision-making.

As a Data Analyst at Cars Commerce, you will analyze technical issues, perform QA, conduct data analysis, and provide insights for product innovation. You'll act as a key liaison between Support and Engineering, ensuring product quality and collaborating with cross-functional teams.

Technical leader designing scalable APIs and agent interfaces for autonomous advertising agents. Build high-throughput real-time systems, evaluate agent protocols, drive architecture, mentor engineers, and integrate external ad platforms.

In this role, you will build internal automation systems to optimize business processes across various departments, from HR to Operations. You'll manage projects end-to-end, ensuring effective systems are created to support scaling operations and enhancing efficiency with AI.

The Data Analyst will analyze complex data to provide insights for Finance and Operations, build dashboards using Looker, and optimize data quality.

The role involves designing and operating backend services, improving system reliability, contributing to AI tools, and mentoring engineers. Responsibilities include handling end-to-end delivery of platform features and collaborating across teams.

Assist in developing automation strategies for 5G Core products, collaborating on Gen AI and Microservices, conducting research, and enhancing security measures.