Member of Technical Staff, Machine Learning
Bjak, a company in banking, insurance and finance, is hiring for the role of Member of Technical Staff, Machine Learning. The role is hybrid, based in Zürich, Switzerland. We classify it under data and machine learning. The posting names PyTorch and Python. Bjak has 230 open positions on this site, 67 of them in IT and engineering.
Posted 2 days ago · Last checked 2026-10-23
About Bjak
Banking, insurance and finance Non-tech company with an IT team 230 open positions, 29% in IT and engineering. Most open roles: Product and design (643), Software engineering (general) (390), Mobile (iOS / Android) (290).
Similar jobs
35 open data and machine learning jobs in Switzerland
- Senior Data Scientist — TripleLift , Zürich, Zürich, Switzerland
- Staff Machine Learning Engineer, LLM Inference Optimization — Nebius, Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Zurich, Switzerland
- Data Scientist, Lab & Protein Data — Adaptyv, Lausanne
- Senior Machine Learning Engineer - Video Understanding — Scandit, Zurich
- Senior ML Engineer (Agentic Search) — Nebius, Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland
- Computer Vision Engineer — Harmattan AI, Zurich
- Computer Vision Engineer - Tracker — Harmattan AI, Zurich
- Senior Data Engineer — Keyrock, Brussels | Rome | Barcelona | Zug | Porto | Cape Town | Istanbul | Eindhoven | Geneva | Milan | Amsterdam | Manama | Madrid | London | Dubai | Berlin | Antwerp | Copenhagen | Vienna | Prague | Athens | Budapest | Paris | Frankfurt | Dublin | Warsaw | Sofia | Luxembourg | Remote | Zurich | Abu Dhabi | Lisbon | London | Tallinn | London OR Brussels | Seychelles | Rotterdam | Krakow | Johannesburg | Zagreb
| Workplace | Hybrid |
| Seniority | Not stated |
| Role | Data and machine learning |
| Countries | Switzerland |
| Languages | Python |
| Employment type | FullTime |
| Key facts | Stack: Python, PyTorch |
The full description is on the original posting. Labels are set automatically and can be wrong. About the data