1 to 25 of 207 Permanent NumPy Jobs in the UK excluding London

Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools/ ...

collaborative software development Deep understanding of Python Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self‐explanatory code Understanding of software design patterns, SOLID and DRY principles, and architectural patterns Experience with ...

DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools such as JUnit, Mockito, PyTest, and Selenium. Strong working knowledge of the PyData stack—pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation, and experience with data analysis and troubleshooting data‐related issues. Knowledge ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with ...

British citizens and resided in the UK for 5 years or over. Key Responsibilities Strong proficiency in Python and ML libraries such as pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch. Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe. Familiarity with ML lifecycle tools ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...