Top Python Jobs in Toronto

The Machine Learning Engineer will develop and optimize ML models for FPGA Compiler, collaborate with engineers, and enhance compiler performance using advanced ML technologies.

The Risc-V Architect will analyze AI workloads, design custom RISC-V cores, and lead the architecture efforts at Tenstorrent, improving CPU performance.

The Manager, Data Solutions leads the design and delivery of scalable data solutions, managing team members while collaborating across functions to optimize client outcomes.

The Data Solutions Consultant designs, builds, and applies data and machine learning solutions to support analytics and omnichannel initiatives, collaborating with multiple teams and delivering insights through data pipelines and model deployment.

The Data Transfer Engineer manages, operates, and optimizes Axway Managed File Transfer services while migrating these services to Kubernetes and implementing IaC principles.

This role involves leading vulnerability management programs, optimizing security processes, advising clients on risk mitigation, and reporting on security metrics while collaborating with technical teams.

As a Fund Accountant, you will manage fund accounting, reporting, and post-trade operations while collaborating with finance and technical teams.

The Technical Analyst will support team projects by executing the technical roadmap, collaborating across departments, troubleshooting issues, and assisting with analytics initiatives to enhance marketing performance.

Design and maintain scalable data platforms and pipelines, optimizing workflows and ensuring data security while collaborating with stakeholders to deliver tailored solutions.

The Senior Solutions Engineer at BitGo will lead technical demos, manage client relationships, and collaborate on product development while deeply understanding blockchain and financial services.

The Machine Learning Engineer / Data Scientist will build and deploy machine learning solutions, working through the ML lifecycle from problem framing to production.

As a Satellite Systems Designer, you'll define system architectures, manage requirements, drive subsystem integration, and mentor junior engineers across space missions.

The Product Analyst will support Product Managers by analyzing data to guide product decisions, improve user experience, and drive conversion and retention through strategic insights and recommendations.

As an Agile Test Engineer, you will design and execute testing strategies, leverage AI in testing processes, and collaborate with teams to ensure software quality across various applications.

Support analytics and reporting by translating business questions into analytical requirements, analyzing data for trends and insights, building and maintaining dashboards and reports, documenting metrics, collaborating on data modeling, communicating findings, and improving reporting and data quality.

Lead hands-on platform engineering tasks across compute, networking, storage, backup, and database platforms. Prepare and apply patch plans, perform upgrades (OpenShift, DBs), automate with Ansible/Python, manage CI/CD tooling, ensure availability, monitoring, security remediation, and coordinate maintenance and vendor integrations to meet SLAs and DR/BCP requirements.

Drive AI-enabled ASIC development methodology by identifying cross-stage bottlenecks, building data pipelines and metrics, creating automation and AI models, mentoring engineers, and evaluating advances in AI and EDA to improve predictability, convergence, and cycle time.

Lead product analytics and experimentation for user-generated content growth. Design and analyze A/B tests, build dashboards and reports in Looker/Databricks, run funnel and cohort analyses, measure organic traffic impact, and partner with Product, Engineering, Data, and Marketing to translate insights into prioritized, measurable product recommendations.

The Senior Site Reliability Engineer ensures system reliability, performance, and scalability while automating infrastructure and processes. Responsibilities include incident response, monitoring, team collaboration, and continuous improvement in service stability.

Design and deploy production ML models for pricing decisions at Lime, collaborating with engineers, mentoring teams, and influencing strategy.

The Integration Engineer will lead client onboarding for fraud and compliance products, manage integrations, analyze requirements, and support clients throughout the process.

As a Backend Software Developer, you'll design and implement microservices, model data in MongoDB, and ensure systems' reliability and performance. You'll work with AI capabilities and partner integrations, emphasizing CI/CD and observability.

Design and build scalable backend services for a trading platform, focusing on data ingestion, processing pipelines, and APIs while ensuring system reliability and integrating with various teams.

Build software solutions for electric vehicle fleets, contributing to both web application and backend development using various technologies.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.