Machine Learning Engineer – AI Innovation Teams
As one of the world’s top three credit ratings agencies, Fitch Ratings plays a critical role in global capital markets by providing credit analysis, ratings, research, and commentary to financial market participants. For over 100 years, Fitch Ratings has been creating value for global markets through its rigorous analysis and deep expertise, which have resulted in a variety of market leading tools, methodologies, indices, research, and analytical products.
Fitch Ratings is part of Fitch Group, a global leader in financial information services with operations in more than 30 countries, which also includes Fitch Solutions. With dual headquarters in London and New York, Fitch Group is owned by Hearst.
Join our fast‑growing Toronto innovation hub, where we’re building production‑grade AI to reshape global credit decisions. Here, you won’t just ship features—you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable intelligence at real scale within a collaborative, outcome‑driven community. If you’re looking for purposeful work, constant learning, and a place where your impact and growth accelerate—this is where you’ll thrive.
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Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Toronto—where we're building the AI-powered future of financial analysis from the ground up. This isn't about maintaining existing models or running experiments in isolation. This is about building and shipping real generative AI systems, agentic workflows, and intelligent platforms that will transform how credit analysis happens and fundamentally change how global financial markets operate.
We're at a pivotal moment. Fitch is making a major strategic bet on AI, investing heavily in Toronto as our innovation center, and we're building teams of talented ML engineers to turn ambitious vision into production reality. As an ML Engineer, you'll be hands-on building sophisticated ML systems, working directly with cutting-edge technologies, learning from exceptional senior engineers, and contributing to solutions that will have measurable impact.
This is your opportunity to accelerate your ML career by working on real problems that matter, with the resources and mentorship to grow rapidly.
We need ML engineers who are excited about greenfield opportunities and eager to learn—whether you're passionate about working with LLMs, excited to build intelligent systems that reason and act, or energized by turning AI research into production code. If you're motivated by "let me build this and learn what's possible" rather than "let me wait to be told exactly what to do," this is a high-growth role where you'll ship transformative ML systems—working alongside talented engineers who will help you level up your skills while building something significant.
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