Pipelines, warehouses, dashboards and models that someone has to keep running after the demo. We place data engineers, analytics engineers, ML engineers and applied-AI engineers building retrieval and agent systems on top of large language models.
The titles we fill most often on this desk. If yours is close but not listed, ask — the screen matters more than the title.
Every candidate we send for a data & ai role has been through this, run by someone who does the work.
Contract roles on this desk we are recruiting for now.
Migrate a set of legacy SQL Server pipelines onto Databricks and own their reliability afterwards. The client intends to convert this role to a permanent position at the end of the contract.
Build a retrieval-augmented support assistant over product documentation, with an evaluation harness that proves it is getting better rather than just different.
Describe the role and we will confirm whether we can screen for it, then set up a short briefing call. Replies within 4 business hours.
Tell us the role, the term and the rate band. You get a screened shortlist with written notes on each candidate.
Replies within 4 business hours · No obligation · Shortlist target: 48 hours from the briefing
