Do your Python developers do machine learning?

Some do. We distinguish between service engineers and ML engineers because the skills genuinely differ, and we place against what the work needs rather than what looks impressive.

Both. FastAPI suits services with heavy async and typed contracts; Django suits applications where the admin interface and ORM conventions save real time.

Can they work with our existing data stack?

Yes. Most data work involves adapting to what is already there rather than choosing tools freely, and that constraint is normal.

Hire Python developers

Python spans three quite different jobs — web services, data engineering and machine learning — and engineers are rarely equally strong at all of them. We match to the actual work rather than to the language on a CV.

We provide Python developers for backend services, data engineering and AI systems: API development with FastAPI or Django, data pipelines, and the model-serving layer behind production AI. Most of our AI work is Python at the service level.

What they bring

FastAPI and Django service development
Data pipelines and transformation
Model serving and inference infrastructure
PostgreSQL and analytical query performance
Testing and type checking in Python
Async processing and task queues

When clients bring us in

Building the service layer behind an AI system
Data pipelines feeding a warehouse or reporting layer
Backend APIs for data-heavy applications
Automating processing that currently runs as scripts on someone's machine

How engagement works

Engineers work in your repositories, your cloud accounts and your conventions. You own the code from the first commit, and there is nothing to transfer at the end because it was never held anywhere else.

Engagements are staffed to overlap with your working hours rather than ours. If the fit is wrong, tell us early and we replace the person — that flexibility is most of the reason to place rather than hire directly.

FAQ

Hiring Python developers — questions

Do your Python developers do machine learning?: Some do. We distinguish between service engineers and ML engineers because the skills genuinely differ, and we place against what the work needs rather than what looks impressive.
FastAPI or Django?: Both. FastAPI suits services with heavy async and typed contracts; Django suits applications where the admin interface and ORM conventions save real time.
Can they work with our existing data stack?: Yes. Most data work involves adapting to what is already there rather than choosing tools freely, and that constraint is normal.

Other roles

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Need Python developers?

Tell us the stack, the role and how long you need it for. We will tell you what we have available and when.

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Or reach us directly: [email protected] · +1 321 335 0265