Data science and ML consulting for production-scale systems
Ample Insight is a Toronto-based data science and ML consulting shop built around Python, PyTorch, TensorFlow, and scikit-learn. The small team (11–50 people) is actively hiring engineers and data roles while running parallel sales motion — specifically building outbound sequences and refining ICPs. Their pain points (scaling ML in production, SaaS scaling, new business channels) map directly to the consulting playbook: they're solving hard infrastructure problems for clients while scaling their own go-to-market.
Ample Insight provides data science, machine learning, and data engineering consulting to mid-market and enterprise companies. The team specializes in production ML systems, analytics infrastructure, and computer vision projects. Built in 2018, the company operates from Toronto and works with clients primarily across North America. Their service offering spans from MVP development to full-scale data governance and infrastructure design, with an emphasis on solving complex engineering problems in real-world production environments.
Python, PyTorch, TensorFlow, scikit-learn, XGBoost, NumPy, Pandas, SQL, FastAPI, React, Node.js, TypeScript, Docker, Git, and Bash.
Toronto, Ontario, Canada. All active hiring is currently in Canada.
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