Top Python Jobs in Toronto

The Senior/Principal ML Engineer will build digital infrastructure for computational workloads, focusing on model iteration, deployment, and collaboration with scientists. Responsibilities include developing ML workflows, defining CI/CD pipelines, and mentoring team members.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.

The AI Engineer will design, develop, and deploy AI-powered systems, improve operations with intelligent workflows, and collaborate on high-leverage AI opportunities.

The role involves developing computational chemistry tools, implementing AI and physics-based simulations, and maintaining scientific software systems while collaborating with experts across various fields.

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 Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

You will verify ASIC design implementation, develop verification infrastructure, optimize verification flows, and collaborate with teams on advanced methodologies.

The Staff Software Engineer at Narvar will drive the architecture of new product platforms and mentor junior engineers while developing scalable distributed systems.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

As an Engineering Lead, you will architect and drive the execution of AI-integrated solutions for enterprise clients, managing multiple projects and ensuring secure, scalable implementations while communicating with technical stakeholders.

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.

Seeking a Staff Engineer in QA Automation with 5+ years in manual and automated testing, proficiency in multiple scripting languages, and experience with various automation tools and frameworks, working agile methodologies.

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

The Senior Site Reliability Engineer will ensure reliability and scalability of cloud infrastructure, enhance incident management, and optimize operational efficiencies through collaboration with various teams.

This role leads compliance automation within the GRC function, managing integrations, designing AI-driven workflows, and ensuring continuous compliance monitoring and risk management.

Develop and train conditioned policies and MARL systems to simulate realistic driving behaviors, implement safety-constrained RL algorithms, design rewards and evaluation metrics, optimize large-scale training pipelines, advance neural architectures for long-horizon planning and spatial reasoning, and integrate research models with production simulation and planning teams.

Support clients by collecting, cleaning, and analyzing data from multiple sources using Excel, SQL, R or Python. Present insights and data-driven recommendations to clients, collaborate with teams to understand business needs, and participate in professional development while mentoring junior teammates.

Lead development and architecture for Pega-based workflow and case management solutions. Build scalable, highly available systems, integrate APIs and databases, drive CI/CD and TDD practices, mentor engineers, prototype Pega features (including Pega Blueprint AI), and improve performance, automation, and testing across the software lifecycle.

Own and build automated test suites and UAT for APIs and customer-facing apps. Validate REST and gRPC services, automate browser workflows, perform exploratory and release testing, triage defects, embed quality in CI/CD, and pioneer AI-assisted testing practices.

Develop, maintain, and operate Mission Control web app and supporting microservices for satellite operations. Design and implement HTTP APIs, deploy critical infrastructure, and improve automation. Collaborate with cross-functional teams to ensure satellite scheduling, telemetry processing, and operational tooling meet mission needs. Support CI/CD, testing, and database-backed services.

Build, maintain, and operate cloud-based services and automation for satellite operations. Manage infrastructure, design/deploy critical systems, support microservices and CI/CD workflows, ensure reliability and SLAs, collaborate with cross-functional teams to minimize operational burden and automate satellite operations.