Top Python Jobs in Toronto

Design business data models and data architectures, mentor data teams, translate business requirements into technical specifications, and set standards for AI-augmented development practices.

As a Senior Software Development Engineer in Test, you will design automated test frameworks, execute tests for payment workflows, and ensure high-quality integration with ERP systems.

Design, build, and productionize evaluation and post-training systems for LLMs. Create post-training datasets and improve model performance through innovative training loops.

The Technical Solutions Engineer will design and develop integrations between the iVerify platform and enterprise ecosystems, focusing on APIs and customer success.

Operate, maintain and improve the global Tyk Cloud platform: run production Kubernetes clusters, manage cloud infrastructure, automate operations, run on-call incident response, create monitoring and dashboards, conduct post-incident analysis, document SRE processes, and drive reliability, efficiency and multi-region/multi-cloud expansion.

The Applied AI Engineer will develop AI-powered systems to streamline internal processes, collaborating with various departments to enhance efficiency and automation. This role involves problem ownership, system design, and deploying solutions that leverage AI technology while ensuring user adoption and long-term value.

As a Senior Software Engineer at Hopper, you will design and develop machine learning systems for pricing, collaborating with data science and engineering teams to deliver scalable solutions and monitor production systems.

As a Senior VFX Artist, you'll create game-ready real-time VFX including particle effects and materials, mentor artists, and align VFX delivery with project goals. Requires strong leadership and VFX workflow experience in Unreal Engine and other tools.

The Senior Staff Applied ML Engineer will lead ML modeling and data analysis, mentor teams, and integrate AI-driven features and workflows across multiple products.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

As a Senior Digital Verification Engineer, lead verification planning for digital and mixed-signal designs, innovate verification environments, and mentor junior engineers.

Design and deploy machine learning systems for autonomous vehicles, collaborating with teams to improve model performance and safety using real-world data.

Design and lead end-to-end AI/ML and GenAI architectures (data pipelines, training, inference, MLOps). Advise clients, integrate LLMs, build RAG systems, benchmark platforms, mentor teams, ensure responsible AI, and align ML strategy with business goals.

As a Solutions Engineer, you'll transform vegetation intelligence into actionable insights for utility customers, utilizing geospatial analysis and machine learning to enhance power grid resilience against climate challenges.

As a Software Engineering evaluator, you will curate code examples and evaluate AI-generated code for efficiency while collaborating with cross-functional teams to enhance AI-driven solutions.

Lead Data Acquisition Team, drive AI-augmented development, establish specification-driven methodology, oversee data pipeline architecture and ensure operational excellence.

The Principal Application Scientist at Dotmatics will provide technical leadership and consult customers on SaaS solutions, focusing on data integration and architecture in scientific environments.

The PET Scientist role involves supporting molecular imaging studies, collaborating with multidisciplinary teams, and leading deployment of imaging acquisition in clinical trials.

Lead and scale a team of full-stack and AI engineers to design, build, and deploy production AI-powered web applications. Drive architecture, cloud/ML infrastructure, DevOps and data pipelines; mentor engineers; collaborate with product, design, and QA; and ensure scalable, reliable, secure AI systems and responsible AI practices.

Build, operate, and optimize core AI platform components for training and serving ML models at scale. Own model serving, inference workflows, GPU orchestration, CI/CD for ML, observability, and deployment automation. Improve performance, reliability, and cost efficiency across CPU/GPU workloads, participate in incident response/on-call, mentor junior engineers, and collaborate with product, infrastructure, security, and data teams.

The RevOps GTM Systems Architect will manage the GTM tech stack, integrate systems, automate processes with code, and enhance data integrity across functionalities.

Design, build, and operate scalable cloud-native platform services to ingest and serve telemetry at high throughput. Improve reliability, performance, and capacity planning; define SLOs/SLIs; participate in on-call rotations; collaborate across teams to reduce region build timelines and deliver platform tooling for application engineers. Write maintainable code (primarily Go), use IaC and Kubernetes, and incorporate AI-assisted development workflows.

Hands-on Staff AI Developer to shape architecture and build features across a Rails SaaS and Python FastAPI data platform. Design scalable services, ingestion pipelines, background processing, APIs, and AI-powered features (LLM orchestration, prompt workflows). Improve reliability, observability, and CI/CD; collaborate with Product and cross-functional teams to deliver high-impact platform improvements.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

As a Founding Forward Deployed Engineer, you'll deploy AI solutions in customer environments, enhance product integration, and lead technical efforts to ensure successful implementations in the pharmaceutical sector.