Top Python Jobs in Toronto

This role supports RBC's Enterprise Performance Management by providing strategic financial advice, enhancing analytical capabilities, and collaborating with various teams to improve reporting processes.

The Associate Consultant will provide high-quality analytical input for client projects in life sciences, assisting with problem analysis, developing solutions, and managing data. Responsibilities include analysis, presentation preparation, and managing multiple priorities in a collaborative environment.

The Data Solutions Consultant designs and builds data and machine learning solutions, collaborates with partners, and optimizes workflows for insights.

The Manager, Analytics leads the measurement strategy across healthcare client engagements, utilizing analytics frameworks to guide decision-making and improve marketing effectiveness, while mentoring analytics teams and aligning data across functions.

As a Senior Software Development Engineer, you'll design and build AI-powered backend services, APIs, and data pipelines while ensuring system scalability, security, and performance.

The Mixed-Signal Systems and Verification Engineer II will develop simulation-efficient behavioral models, verify complex designs, debug failures, and maintain verification infrastructure, collaborating across teams.

The role involves leading the design and development of core platform features, building scalable backend services, managing front-end features, and collaborating across teams to enhance the contract lifecycle management software.

As a Staff Platform Engineer, you'll build and maintain enterprise software applications, collaborate with teams, and improve code quality in a cloud-native environment.

Develop and maintain full-stack applications for Fixed Income trading and risk management, collaborating with traders and analysts for innovative solutions.

Design and implement machine learning algorithms for robotic manipulation, focusing on RL and IL. Collaborate across disciplines to ensure integration and successful deployment.

The Motion Planning & Controls Engineer will develop software for robot motion, implementing algorithms for optimized control and ensuring performance and safety.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

Consultants at Tiger Analytics design analytics solutions for clients, manage projects, and engage stakeholders to translate business problems into actionable insights.

Lead design and deployment of production-grade AI solutions, build multi-agent systems and cloud-native ML infrastructure, apply rigorous statistical evaluation, implement generative and predictive models, champion MLOps and data pipeline best practices, and collaborate with clients to translate business needs into technical solutions.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

As a Software Engineer, you'll design and implement a high-performance computational geometry library, develop geometric algorithms, optimize performance, establish testing frameworks, and enhance collaboration across teams.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

The Senior Full Stack Engineer will design and develop fintech applications, mentor teams, and advise clients on best practices while ensuring security and compliance.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

As a Computer Vision Engineer, you'll develop software pipelines for image and video inference, improving fish farm efficiencies using deep learning and computer vision techniques.

Design and build agentic AI workflows for biological and clinical data curation and analysis. Implement context engineering (RAG variants), prompt and agent architecture optimization, LLM tool-use integrations, and evaluation benchmarks. Collaborate with bioinformatics and clinical experts to translate domain problems into reliable, production-quality agentic systems.

Lead and mentor a team of quality engineers, implement test strategies, develop automation tools, and ensure alignment with product requirements to enhance software quality.

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.