5 of 5 Permanent SciPy Jobs in the UK excluding London

wearables—including strategies for managing irregular sampling, noise, and missing data. Advanced skills in Python for data analysis, utilizing tools such as pandas, NumPy, SciPy, and a range of visualization libraries (matplotlib, seaborn, etc.). Expertise in designing and executing controlled data experiments, including A/B tests and cohort ...

background in Machine Learning, DL and Applied Statistics• Time-series modelling + backtesting• Experience with geospatial and climate datasets• Python stack: PyTorch, scikit-learn, scipy• Reproducible workflows (Git, AWS/cloud, W&B)Nice-to-haves:• Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds)• Climate ...

more for an exceptional candidate) Requirements for RF Data Scientist/Research Engineer: Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn) Excellent understanding of digital signal processing techniques including FFTs, resampling, modulation, and filtering Hands-on experience working with SDR platforms such ...

deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. … role? Demonstrable programming ability in Python, preferably within a data context A STEM-related degree Some experience with the Python scientific stack (NumPy, Pandas, SciPy, etc.) is preferred Experience with Docker, GIT and Linux So What's Next? If you are an experienced Python Developer looking for your next technical ...

algorithms by leveraging concepts such as machine learning, optimisation and mathematical modelling. They will also be using Python and common libraries (e.g. NumPy, Tensorflow, SciPy) to develop their prototype. Problems you could be working on: Enhancing sonar operator training using data-driven techniques Investigating the use of ML (e.g. generative … Mathematical Optimisation Reinforcement Learning Experience in developing applications in Python Practical use of common Python libraries for data analysis or ML (e.g. NumPy, Tensorflow, SciPy, Scikit-Learn) What you will gain whilst working at SeeByte: Experience in applying technologies (e.g. neural networks, probabilistic models, constraint programming) to solve real world ...