Top Python Jobs in Toronto

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

Develop software and systems for embedded platforms at Aquabyte, focusing on sensor interfaces, network reliability, and hardware diagnostics while collaborating with research teams on machine learning models.

Partner with Marketing as the embedded data science lead to build marketing measurement, attribution, LTV/ROAS/CAC models, run experiments, analyze the full funnel, create forecasts and dashboards, and influence channel strategy and budget allocation.

The Senior ML/RL Engineer will develop behavior models, implement RL algorithms focusing on safety, design reward functions and optimize training environments while collaborating across teams.

As a Staff Software Engineer at Juniper Square, you'll lead architectural decisions and develop AI-powered systems, mentoring engineers and ensuring high-quality technical standards while collaborating with cross-functional teams.

This role involves ensuring customer success by providing technical expertise, driving onboarding, managing customer relationships, and optimizing product adoption, while addressing challenges and mentoring team members.

Develop and deliver user-friendly software for B2B SaaS products. Collaborate with teams on both front-end and back-end development.

The Machine Learning Engineer will develop and deploy ML models, leveraging analytical skills to automate processes and reveal data value.

As a Senior Software Engineer, you will design and deliver user-friendly software, manage APIs, and create scalable microservice architectures.

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.

Lead data-driven underwriting improvements by analyzing claims, risk signals, and underwriting data; build statistical and ML models for cyber risk assessment, pricing, and automation; produce dashboards and reports; collaborate with actuarial, product, and engineering teams; mentor teammates and lead cross-functional initiatives to optimize underwriting and risk selection.

Lead labeling quality and methodology for ML at Coalition: design annotation tasks, define quality frameworks (IAA, gold standards), manage Label Studio and vendor BPOs, partner with ML/data teams, and track operational metrics to improve accuracy and throughput.

The role involves end-to-end machine learning lifecycle management, including data processing, model development, rigorous testing, and production deployment, focusing on large quantitative models for AI-first products.

The Machine Learning Engineer will manage the ML lifecycle, develop models, ensure performance, and collaborate with a diverse team to build AI-first products.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

Design, develop, and maintain embedded firmware for optical networking products. Implement new features, resolve legacy bugs, collaborate with hardware, validation, and test teams, and ensure accurate firmware documentation. Coach junior engineers, lead code reviews, support pre/post sales and field engineers, and apply Agile/CI/CD/DevOps practices for product delivery.

Design, build, and scale backend services and APIs (checkout, payments, scheduling, accounts) using Python, FastAPI, and PostgreSQL. Integrate third-party platforms, ensure resiliency and observability with Datadog, optimize performance, write automated tests, and mentor engineers while partnering with Product and Design to deliver customer-facing features.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Drive product and performance analytics for mobile app user acquisition: define core metrics, analyze campaign and product trends, build dashboards and data pipelines, support experiments and ML teams, automate reporting (including AI-powered workflows), and communicate findings and recommendations to stakeholders.

Serve as a trusted technical advisor designing and implementing Coveo AI relevance solutions. Lead architecture, requirements, and delivery across customer ecosystems, collaborate with stakeholders, enforce best practices and governance, and support agile delivery and product feedback.

Lead pre-sales and post-sales technical engagements to help customers adopt Aiven's managed open-source services. Conduct proofs-of-concept, ensure customer stability and enablement, support sales processes, create technical content (blogs, webinars, talks), and travel up to 20% to build and maintain customer relationships.

As an Android Engineer, you'll enhance automated tools for analyzing APKs, improve dynamic analyzers, and collaborate on security checks for Android applications.

The Manufacturing Bring-up Engineer oversees system testing and validation, collaborating with cross-functional teams to automate workflows and enhance manufacturing efficiencies.