392 python English-speaking jobs in Capital Region of Denmark

shipping ML/LLM features tomillions of active users .You are deeply technical.You are proficient in Python ... Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python

The tech stack is primarily Python, TypeScript and C#, deployed as containerized services on our Kubernetes ... value breadth and curiosity over deep specialisation in any single area.- Strong in at least one of Python

SQL skills and experience working with analytical data models and data warehouses Proficiency in Python

capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—using Python ... communication skills, able to translate complex technical concepts for non-technical stakeholders Strong Python

You are comfortable writing production‐level Python and have a deep understanding of data structures, ... algorithms, and distributed system design.Deep proficiency in Python and the modern ML stack, with hands‐on

Copenhagen office 1 or 2 days per weekHands-on experience with multiple machine-learning projects in Python

Data Scientist will build and scale data science capabilities across product and business domains. Responsibilities include developing and deploying machine learning models to solve problems such as personalization, marketplace optimization, and demand forecasting. The role requires a Master's degree or PhD in a related field, experience applying machine learning to product or business problems, and strong programming skills in Python and SQL.

developer.Strong expertise in full‐stack development:Frontend: JavaScript/TypeScript and Vue.jsBackend: Python

It is considered advantageous if you have solid programming skills in Python, have good knowledge of ... design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python

Experience with programming (e.g., MATLAB, Python or similar).

Experience in automation with Python, Ansible, Terraform, and Nautobot.

Snowflake.Intermediate level knowledge of Data Vault 2.0 modeling.Experience in creating Airflow DAGs and intermediate Python

Experience in automation with Python, Ansible, Terraform, and Nautobot.

working in large data platforms and modern tools like dbt Cloud and Databricks Programming skills like Python

Entra ID, Ping Identity, Omada, and Delinea PAM.Proficient automation and scripting skills (PowerShell, Python

goals.Project management.Your profilePh.D. in Quantitative Genetics or Population Genetics.Proficiency in R and Python

gas‐phase measurements (e.g., CH4, NH3, VOCs) is highly desirableCompetence in data analysis tools (Python

GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python

you should have:2-3 years of experience in software development with AI/ML exposureExperience with Python

Knowing how to code Python is a plus, alongside with BTP, Joule or SAP Business AI certifications.