ML Research Engineer - Member of Technical Staff
- Location
- Greater London, England, United Kingdom
that possible: a principled, evidence‐based method for building agentic systems automatically at unprecedented scale. Today, designing these systems is a craft. Decisions about memory management, task decomposition, tool use and inter‐agent coordination are made on intuition and convention. The results work until they … turn those findings into interventions that measurably move intelligence, cost and reliability Attack one or more of our core research themes: context and memory management; agent steering, task decomposition and specialisation; continual learning during deployment; and inter‐agent communication Build agent analysis and evaluation infrastructure - observability, behaviour analysis ...