412 python English-speaking jobs in Capital Region of Denmark

in machine learning and epidemiology Has experience with predictive modelling and NLP Is skilled in Python

Knowledge of scripting languages such as Python, Perl, or Tcl.

Experience with RTOS is a plus; Python knowledge is a plus. Version control experience with Git.

Backend API Development: Develop and maintain backend APIs and services, primarily using Python, to connect ... Full‐stack experience with Python for APIs, automation services and web development using frontend technologies

Proven expertise with Python (Django or FastAPI). ... What helps you succeed: Deep experience with Python (ideally Django or FastAPI), designing distributed

in machine learning and epidemiology Has experience with predictive modelling and NLP Is skilled in Python

Advanced Python programming skills.

system modelling - e.g. split-step GNLSE, rate-equation-based amplifier modelling Familiarity with Python

Requirements Experience in python (5+ years) Experience in AWS ecosystem (5+ years) Experience with banking

Proficient in one or more programming languages such as Python, Java, C# and RPA tools such as UiPath

It will be beneficial to have experience with XML programming, Bash/Python scripting and hardware troubleshooting

Engineer Better Support: Build small tools, scripts, and automations (Python) that improve diagnostics ... Comfortable writing Python to automate diagnostics, build small tools, and contribute scripts to the

Have strong experience working in Python.

Science, Electrical Engineering, Applied Mathematics, or a related field Strong expertise in C++ and Python

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

Proficiency in at least one programming language; e.g., Python, Go, or Java.

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

Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Scikit‐Learn). ... Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Scikit‐Learn).

Proficiency in languages like C, C++, Python or Matlab.

learning, information‐driven optimization approaches, or DMTA workflows is considered advantageous Strong Python