Senior AI Engineer, IT Solutions 1
Toronto, ONUrban Ridge Supplies
11+ ansCandidates need 11 or more years in IT, software engineering or data science, with AI and ML experience and strong Python skills. Cloud AI services, vector databases and clear communication with non-technical leaders are also required.
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel
Artificial Intelligence Developer
Toronto, ONUrban Ridge Supplies
3+ ansCandidates need 3+ years of software engineering experience, including AI applications in production. They need strong Python, TypeScript, SQL and Git skills, plus experience with LLMs, RAG, AI agents and cloud platforms.
Docker, Kubernetes, Git, PostgreSQL, Elasticsearch, Azure AI Search
Machine Learning Engineer
Toronto, ONUrban Ridge Supplies
3+ ansCandidates need 3+ years of production ML or data-heavy system experience, including shipping and owning models after launch. Real ranking or relevance experience, strong Python, and rigorous A/B testing skills are required.
Python, MLflow, Kubernetes, Spark
Lead Full-Stack GenAI Engineer
Toronto, ONUrban Ridge Supplies
8+ ansCandidates need at least 8 years of software or AI delivery experience, recent hands-on work with production GenAI or agentic systems, and strong Python, React and TypeScript skills. Azure cloud experience, DevOps practice and a bachelor's degree or equivalent experience are also expected.
Azure OpenAI, Azure AI Search, Microsoft Foundry, Databricks, MLflow, Unity Catalog
Lead, AI/Machine Learning Engineer
Toronto, ONUrban Ridge Supplies
3+ ansCandidates need 3+ years of software engineering experience, including 2+ years building production AI/ML or generative AI solutions. They need hands-on experience with LLMs, RAG, classical ML and deep learning, MLOps, and Azure cloud, plus strong SQL and clear communication with non-technical stakeholders.
Azure AI Foundry, Azure OpenAI, Copilot Studio, MLflow, Kubeflow, Databricks
Senior Applied AI Engineer
Toronto, ONUrban Ridge Supplies
10+ ansCandidates need 10+ years in AI/ML engineering, at least 2 years in financial services or a regulated industry, and a track record of production AI deployments. Strong Python, LLM and agent framework skills, plus AWS and Azure experience, are required.
Python, TensorFlow, PyTorch, scikit-learn, Copilot Studio, LangChain