AI / ML engineers
You've taken a model past a notebook: evaluation, monitoring, retraining, the parts that don't show up in a demo. Comfortable working inside a client's environment and constraints, alongside your own stack.
Careers
Forward-deployed work, inside financial systems that matter.
We're a small team building AI infrastructure and automation for banks, asset managers, insurers and fintechs. We embed in the client's workflow rather than shipping a demo from a distance. Remote-first, working across EU and Middle East time zones.
Profiles we hire, not open req numbers.
We don't run a public job board. These are the profiles that fit the work; if one of them is you, get in touch.
Data engineers
Pipelines, point-in-time correctness, reconciliation and lineage. You'd rather fix the data than patch around it with a bigger model.
Solution architects
You can sit with a compliance team and a trading desk in the same week and design something that works for both. Prior experience in banking, insurance or payments is a strong plus.
What the job actually looks like.
Remote-first
Work from anywhere in the EU or Middle East time zones; we meet where the client's day is.
Small, senior team
No bench, no junior-heavy pyramid. Everyone on an engagement has shipped production systems before.
Direct client exposure
You sit with the client's engineers and compliance team from week one, not after three layers of handoff.
Own the outcome
Engagements are staffed end to end by the same people, from architecture through handover, so you see what you built land in production.
Flexible engagement types
Forward-deployed pods, fixed projects, or advisory work: you work across models rather than one fixed delivery template.
We don't run open req boards or a big recruiting pipeline. If the roles above sound like your kind of problem, send us your background and the kind of work you want to do next. We read every message ourselves, and a good fit matters more to us than perfect timing against an open role.