58 python English-speaking jobs in Central Denmark Region

deploy necessary adjustments to ensure optimal performance Contribute to the technical frameworks (Python ... statistics, econometrics, applied mathematics, engineering, physics) Have great coding skills (we use Python

systematic trading approaches and a desire to quantify them You must be a strong team player Great Python

Structural Engineering with a minimum of 5 years experience in the industry Intermediate skills in Python

Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness

you have competences within: C++ programming Object Oriented Design Git/GitExtensions Knowledge of Python

electronics or IT Experience with electrical hardware and software testing Knowledge and some experience with Python

Possess advanced skills in Python, C#, and React.

Experience with Python and standard libraries such as Pandas, NumPy, etc. is considered a plus.

Bash, Python. Chef/Ansible, terraform. On-call on a rotational basis.

Experience with Python and standard libraries such as Pandas, NumPy, etc.

Good techno-commercial knowledge Knowledge of object-oriented programming Knowledge of MATLAB or Python

You preferably have at least 2 years of professional experience with Machine Learning in Python, have

Your core skills Proficiency in Python. Hands-on experience with Docker for containerization.

European Intraday Power Industry experience with machine learning and/or statistical modeling Skilled in Python

Experience: 5+ years of professional experience in fullstack development, with a strong expertise in Python

They are primarily working with .NET6 but we also use python and other languages when needed and relevant

Experience with Python for automation, testing, and data analysis.

structural designer, with a focus on composite materials, is desirable Programming skills, particularly in Python

Quantitative background in Economics, Science, Mathematics, Engineering, Finance, or similar Experience with Python

Strong proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).