258 python English-speaking jobs in Capital Region of Denmark

Additional Useful Experience C++ libraries, such as STL, Qt, Boost User interface design and development Python

server-side technology Django (Django-REST using postgresql) Proficiency in the back-end programming language Python

Comprehensive skills in Python and machine learning libraries.

will be vital for enhancing app performance and user experience, while your proficiency in Django and Python ... Strong proficiency in backend programming languages, preferably Python, and familiarity with frameworks

Fluent in writing Python code. Experience working with containers (Docker). ... this, you have the following competences: Software development using a statically typed language and Python

Machine Learning projects, including predictive modeling, classification, and clustering Skilled in Python

Knowledge of scripting languages (e.g., PowerShell, Python) for automation of IAM tasks.

Familiarity with JavaScript, Python, encryption, and data privacy protocols.

Proficiency with trading platforms, analytical tools, and programming languages (e.g., Python, VBA) to

Experience with automation and data logging – preferably in python.

Experience using statistical programming languages (Python is a must, R, MATLAB, SAS, C++).

Proficient in multiple programming languages; while our backends primarily use Golang, knowledge of Python

ML-driven algorithms from prototype to production Production programming experience (preferably in Python

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

highly skilled team with experts in all the fields relevant to counterparty credit risk modelling: Python

Programming Skills: Experience with Python, SQL & Linux scripting.

For smaller tasks, we are also using tools like Python and shell scripts.

advantage if you have experience with the following disciplines and technologies: Programming in C#, Java, Python

You have proficiency in Python and an understanding of SQL.

Tech: Experience with Python, NodeJS, Terraform.