Careers Denmark
Se alle job

Digital & Data

Senior Machine Learning Engineer

Novo Nordisk A/S Måløv, Capital Region of Denmark, DK Publiceret 8. okt. 2026 Novo Nordisk A/S public ATSSeniorspecialist651.000–956.900 DKK om året
Læst af AI
Læst fra jobopslaget af AI. Arbejdsgiverens egne felter vinder altid.

Resumé

Design, deploy and operate production machine learning, generative AI and agent-based services using Databricks, AWS and Azure. Establish engineering practices and mentor colleagues to improve the reliability, safety and performance of AI systems.

Læst af AI
Læst fra jobopslaget af AI. Arbejdsgiverens egne felter vinder altid.

Kort om jobbet

Pay: 651,000–956,900 DKK per year. Country: Denmark. . Your impact begins here As Senior Machine Learning Engineer, you will turn models and AI prototypes into reliable, secure and measurable production services in Research & Development.

You will design, deploy and operate machine learning, generative AI and agent-based applications on Databricks, AWS and Azure, and set the engineering practices that keep them performing. Your work helps colleagues move from promising ideas to dependable tools they use every day, supporting progress for people living with serious chronic diseases.

What you’ll bring - A degree in computer science, engineering, mathematics or a related field, or equivalent practical experience. - Typically, 5+ years in machine learning engineering, software engineering or applied AI, including ownership of production ML systems, with examples of your contribution, architecture decisions, deployment approach, operational challenges and measured outcomes.

- Strong hands-on Databricks expertise, including Python, PySpark, Spark SQL, Delta Lake, MLflow, production pipelines, model serving, workflow orchestration and Unity Catalog governance. - Strong practical knowledge of both AWS and Azure for deploying and operating ML or AI workloads, along with Git, CI/CD, containers and infrastructure as code, such as Terraform1 …

Dette er et forkortet uddrag af det offentlige jobopslag. Følg det originale opslag for at se den fulde og autoritative beskrivelse.