Machine Learning Engineer at Financial News Systems

Rasmus Jones is a Machine Learning Engineer at Financial News Systems in Copenhagen, where he builds low-latency language models tailored for high-stakes financial applications. He holds a PhD in signal processing and applied machine learning, and specializes in structured outputs and constrained decoding — designing LLM systems that are not just smart, but reliably machine-parsable in production.

Working at the intersection of engineering precision and model behavior, Rasmus brings hands-on experience with JSON Schema, domain-specific grammars, and schema-driven generation workflows that power safe, consistent automation at scale.

What happens when we stop treating LLMs as text generators — and start using them as deterministic, structured reasoning engines? Explore with Rasmus at DataFest Tbilisi on November 27–29.