Top Python Jobs in Toronto

Design, build, and operate production LLM integrations and agentic workflows. Architect RAG pipelines and context strategies, implement guardrails and validation, create reusable agent primitives and evaluation frameworks, and upskill engineering teams on reliable, scalable AI features for wealth management.

Senior Data Scientist for Rovio's Beacon platform in Espoo. Develop predictive and statistical models for User Acquisition, handle long-term forecasting, uncertainty quantification, optimization, and rare-event behavior. Translate research into production, own model lifecycle from experimentation to deployment and monitoring, and collaborate closely with UA, game teams, finance, analysts, and engineers while contributing to a collaborative modelling culture.

Lead sales-focused data science initiatives: build and maintain data models and ML systems, design experiments (A/B tests), create dashboards and reports, perform exploratory analyses, and partner with Commercial, Product, and Engineering to drive business impact.

As a Full Stack Engineer, you'll own the development of features from design to production, collaborate with various teams, and continuously improve the platform by solving technical challenges.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

The Staff Platform Engineer will design and implement scalable infrastructure for AI applications in manufacturing while ensuring reliability, operability, and cross-team collaboration.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

The Senior Cloud Engineer designs and operates secure, scalable cloud solutions on AWS, implements Infrastructure as Code, and ensures compliance with security practices.

The Senior Data Engineer II will design and operate data pipelines, manage data modeling, ensure data quality, and collaborate across teams for analytics and AI integration.

As an Applied Research Engineer, you'll develop frameworks for autonomous agents, design data programs, and collaborate with AI researchers to advance capabilities and publish results.

As a Systems Engineer, you will design systems and automate IT operations, manage identity infrastructure, and develop automation for onboarding and endpoint management.

The Principal Software Engineer will design and build the Linux-based infrastructure for satellite communication systems, ensuring performance and security. Responsibilities include software lifecycle management, system debugging, and collaborating with hardware engineers.

Architect and develop systems for the Ads platform, focusing on campaign management, targeting, delivery, and performance. Lead technical decisions and mentor engineers while collaborating with cross-functional teams to fulfill business requirements.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.

Design and maintain production platforms using Kubernetes and other tools, address operational issues, and collaborate with client engineering teams to optimize infrastructure solutions.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.

Lead business-to-technology translation for member-portal APIs and data flows. Define API contracts, data lineage, payloads, validation, error handling, and acceptance criteria. Identify data risks, ambiguity, and downstream impacts. Collaborate with product, architects, engineers, QA, privacy, and operations to ensure auditability, compliance, and production readiness for DISP orchestration and integration workstreams.

Work as a Business Analyst on an agile product squad to elicit and document business requirements, map and transform data, configure low-code/no-code solutions (Power Platform, Power BI), support testing and UAT, produce deliverables, and liaise with Product, Dev, QA, Data & Analytics, vendors, and support teams to deliver business value for investment products.

Design and deliver scalable software and data architectures for the Public Investment Analytics Platform. Translate business requirements into technical solutions, lead technical decisions, ensure compliance with enterprise standards, integrate AI capabilities, and provide technical leadership, code reviews, and guidance to development and data engineering teams to support capital markets and fund management needs.

Design, architect, and lead development of the SWIFT platform and related applications. Translate business requirements into technical and data architectures, enforce standards via reviews and governance, guide development teams on integrations, data models, APIs, DevOps and CI/CD, and drive performance, reliability, and technology adoption.

Design, architect, and hands-on develop scalable, secure full‑stack solutions for private investments platforms. Lead API, integration, and service-oriented design, enforce standards, support CI/CD and observability, troubleshoot production issues, mentor engineers, and align technical strategy with business stakeholders.

Lead daily margin and collateral operations across bilateral and cleared products, strengthen operational controls, manage and develop a team, drive process improvements and system implementations, support cross-functional projects, and act as primary operational contact for internal and external stakeholders to ensure collateral resiliency and liquidity reporting accuracy.

Work with Private Markets teams to design, build, and deploy AI/ML and optimization solutions (including LLMs, RAG, embeddings, and solvers), perform statistical modelling and data analysis, collaborate with stakeholders, and promote data science best practices, monitoring, and continuous improvement.

Provide real-time, text-based mentoring and feedback for middle and high school students preparing for math contests and STEM classes. Answer questions, give hints, and encourage students during live weekly classes (Sundays 7:20–9:00 pm ET). Assist with contest-focused and regular subject classes in math, Python, physics, and chemistry.

Senior Geophysicist responsible for compiling, processing, and interpreting geophysical data to support AI-driven drill targeting. Collaborates with data scientists to integrate geophysical insights into predictive models, troubleshoots data issues, and contributes to methodology development and cross-disciplinary projects to improve exploration decision-making.