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 remote, and the posting gives Ireland as the location. 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 3 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
32 open data and machine learning jobs in Ireland · 708 open remote data and machine learning jobs · 155 open remote data and machine learning jobs in EMEA
- Staff Machine Learning Engineer, Recommendation Systems - Quora (Remote) — Quora, Remote - Multiple Locations | United States | Ireland | Canada | & 13 other countries
- Sr. Applied AI/ML Scientist — Sprout General Referrals, Remote Poland
- Senior/Lead Machine Learning Engineer — Mimica, London | Edinburgh | Ireland | Dublin | Amsterdam | Montreal | Toronto | Denmark | United Kingdom | Italy | Cambridge | Sweden
- AI engineer (agentic systems & LLM services) — WorkMotion, Spain | Portugal | Estonia | Greece | Poland | Romania
- Product Manager - Data Science — Fundamental, EU, Remote
- Applied AI Engineer — ElevenLabs, United Kingdom | Dublin | Spain | Hungary | Bulgaria | Germany | Poland | Italy | Netherlands | France
- Data Scientist - Product Analytics — ElevenLabs, United Kingdom | Spain | Hungary | Bulgaria | Germany | Poland | Italy | France
- Senior Data Engineer (Snowflake) — Solvd, Argentina | Ukraine | Poland | Brazil | Georgia | Colombia
| Workplace | Remote |
| Seniority | Not stated |
| Role | Data and machine learning |
| Countries | Ireland |
| Languages | Python |
| Employment type | FullTime |
| Key facts | Stack: Python, PyTorch · Remote |
The full description is on the original posting. Labels are set automatically and can be wrong. About the data