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A leading recruitment agency is looking for a Python Engineer to build and enhance tools crucial for machine learning research. The role necessitates 4+ years of experience in building software, especially with Python, and familiarity with ML frameworks like PyTorch or TensorFlow. You'll work on-site in a hardware-heavy environment, where communication with researchers is key to refining their tooling needs. A strong hands-on engineering mindset is required to address real-world systems challenges effectively.
If you like building Python systems that make machine learning research actually work at scale - this one's for you. You'll develop and improve the internal tooling that researchers rely on daily: distributed compute workflows, data pipelines, and robust infrastructure that connects research code to real environments (including hardware/prototype devices on-site).
You'll spend time building new features into internal tools, responding to researcher requests, fixing what's broken, improving what's slow, and collaborating with the infra team in a sprint cadence. This is hands‑on engineering with real ownership.
If you're a Python engineer who enjoys solving real systems problems for ML teams, share your CV and we'll talk through fit, on‑site expectations, and interview process.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.