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BB
Benedikt Bischof
MLOps – What’s the deal behind it?
almost 4 years ago
Ai & Mlops Engineer For Enterprise Platforms - Madrid (Hybrid)
Ust
Madrid, Spain
3 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.buscojobs.com.es
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish
Job source
Tech stack
Artificial Intelligence
DevOps
Software Engineering
Machine Learning Operations
Job description
UST in Madrid is seeking an AI Engineer with a strong software engineering and DevOps/MLOps background to join an innovative project for a leading global wealth management client.Hybrid in Madrid city center (Sol area), 3 days a week in the office.English is a must, Spanish desirable.You will drive AI capability delivery, automation, and scalable, secure AI solutions across enterprise platforms.#J-*****-Ljbffr
Requirements
Hybrid in Madrid city center (Sol area), 3 days a week in the office. English is a must, Spanish desirable. You will drive AI capability delivery, automation, and scalable, secure AI solutions across enterprise platforms. #J-*****-Ljbffr
About the company
UST in Madrid is seeking an AI Engineer with a strong software engineering and DevOps/MLOps background to join an innovative project for a leading global wealth management client.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.buscojobs.com.es
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists2:17 min
Mapping the maturity roadmap for scaled devops adoption
Dominik Krichbaum · World Congress 2026 Europe
1:22 min
Understanding software engineering as more than just coding
Lilia Gargouri · World Congress 2026 Europe
3:46 min
Core terminology and audiences for interpretable artificial intelligence
Karol Przystalski · LIVE
2:08 min
Essential engineering roles in the generative AI space
Mary Grygleski · LIVE
3:18 min
Scaling global network engineering through DevOps culture
Stuart Clark · LIVE
4:57 min
Centralizing LLMOps workflows within Azure AI Foundry
Maxim Salnikov · LIVE
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