KEY: Open to candidates worldwide - we sponsor visas and cover relocation. You'll need to be based in London and work on-site, but if you're willing to make the move, we'll handle the visa sponsorship and cover the cost of getting you here.
Milo.ai · London (UK) · On-Site · Full-time
Who we are
Milo is an AI analyst that gives teams answers from their data in minutes. No more waiting days for a dashboard or chasing down the one person who knows where the numbers live - Milo connects to your company's data and delivers insight on demand.
Building the agent was just the beginning. We're now moving one level deeper: a data platform built by agents, for agents. On our platform, agents create pipelines that automatically clean a company's data and make it agent-ready by connecting it to a semantic model and an ontology. The result: clean, well-defined, meaning-rich data that any agent - ours or anyone else's - can reliably reason over. We believe this is the next foundational layer of the AI stack, and we're building it now.
The role
As a Senior Data Engineer, you'll sit at the forefront of this new platform. This isn't a maintenance role on an established system - you'll be deeply involved in shaping the product itself: the pipeline architecture agents build on, the semantic layer that gives data meaning, and the standards for what "agent-ready data" means.
You'll build the infrastructure that lets agents autonomously create pipelines - ingesting, cleaning, and unifying data from a wide range of sources, then connecting it to a semantic model and ontology so it's fast, queryable, and meaningful for both AI agents and traditional BI workloads.
What you'll do
Build the pipeline infrastructure and primitives that agents use to autonomously ingest, clean, and merge data from diverse sources
Shape the semantic model and ontology layer that turns raw company data into agent-ready data
Design and operate robust DAG-based orchestration for re
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