AI Engineer
Permutable
AI Engineer
Permutable
Real-time market signals via AI platform
Permutable · London, United Kingdom (Hybrid) · Full-time · Posted 2026-09-25
Workplace: hybrid
Permutable builds market intelligence that helps investors and trading teams understand what is changing across macroeconomics, commodities, currencies and geopolitics, and assess what markets may price next.
We process information from global sources and turn it into structured, traceable signals used in institutional research and market workflows. We’re looking for a Senior AI Engineer who can take language-model systems from experiment to reliable production use.
You’ll work closely with our founder, engineers and researchers in a small London team. Your decisions will shape how our AI systems interpret incoming information, assess its relevance and deliver results that users can inspect and trust.
What you’ll do
Real Ownership: Take significant ownership of our production architecture and infrastructure.
Build the Next Generation: Help move our platform towards real-time, event-driven and agent-driven architecture.
AI at Scale : Work with LLMs, AI agents, quantitative models and large volumes of continuously arriving data.
Technical Influence: Have a meaningful say in architecture and technology decisions.
Real Production Impact: Your work will quickly reach production and support institutional financial clients.
An Ambitious, Collaborative Culture: Join a close-knit team with the pace, openness and shared sense of purpose of a high-growth start-up. We work together from our Vauxhall hub and make time for regular team socials and company offsites.
Hybrid Flexibility: Spend three or more days each week in our Vauxhall hub, with flexibility to work remotely for the remainder.
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Real-time market signals via AI platform
Permutable AI provides real-time market intelligence for institutional investors by converting unstructured data—news, policy updates, supply-chain signals—into structured trading signals delivered via API, data feeds, and terminal interfaces. Its platform uses large language models and explainable AI to generate narrative intelligence, ESG and carbon-emissions datasets, and tools like Trading Co-Pilot and sector-wide analysis engines to visualize cross-asset relationships and track sentiment across commodities, FX and macro themes. It differentiates itself by combining narrative and ESG data with explainable AI to offer faster, more transparent insights than traditional research and data vendors. Its goal is to help hedge funds, asset managers and other institutions make quicker, better-informed investment and risk decisions at the intersection of finance and climate data.
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