Dedicated hiring

Hire Python Developers

Python engineers across three distinct specialisms — web backends, data engineering and applied machine learning. Tell us which problem you have and we shortlist accordingly.

Python job titles hide very different skill sets. A strong Django developer is not automatically a data engineer, and neither is necessarily an ML practitioner. We shortlist against the actual work rather than the keyword.

Engineers arrive with production experience in their specialism, including deployment, monitoring and the operational side that separates a notebook from a system.

Capability

What our python developers know

Django and Django REST Framework FastAPI and async Python Pandas, NumPy and data pipelines Airflow and dbt orchestration PyTorch and scikit-learn LLM application development PostgreSQL and warehouse modelling Pytest and typed Python Docker and cloud deployment

Rates

What it costs per month

All-inclusive: salary, benefits, equipment, workspace, HR and management. No recruitment fee, no notice-period exposure, no hidden overhead.

Rates are indicative and depend on stack scarcity, contract length and timezone requirements. Minimum engagement is three months, with 30 days' notice thereafter.

Our commitments

What is in the contract

You interview everyone

No profile is substituted after signing. If the shortlist is not right, we replace it without charge.

Exclusive to your account

Engineers work on one client at a time. No shared allocation across three projects.

Full IP assignment

Contractual, plus an individual undertaking signed by each engineer. Repositories stay in your organisation.

Free replacement

If someone is not working out, we replace them at our cost with a handover overlap.

Or have us build it for you

If you would rather hand the whole thing over than manage a team, see how we deliver Python projects end to end.

Python development

Questions

Hiring python developers — your questions

Not covered here?

Ask us directly

Yes. ML and data engineering profiles are shortlisted separately from web backend developers, and rates for scarce ML specialisms sit at the upper end of the range.

The ML engineers we place have deployed and maintained models in production — versioning, monitoring, drift and retraining — not only experimented in notebooks.

Yes — BigQuery, Snowflake, Redshift and PostgreSQL warehouses are all familiar territory.

Need python developers this month?

Send us the role definition — skills, seniority, timezone overlap — and you will have vetted profiles within five to seven working days.