5 of 5 Remote Pandas Jobs in the East of England

understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). • Proficiency in Python, R, or other relevant programming languages. • Proficiency in working with large datasets, data wrangling, and data preprocessing. • Experience in data science, statistical modelling, and More ❯

understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of graph theory and algorithm implementation Highly motivated and highly independent, able to create and manage a code More ❯

solutions, capable of the following: Recommended: 2+ years of professional experience in a data engineering or similar role. Proficiency in Python , including use of libraries for data processing (e.g., pandas, pySpark). Experience working with Azure-based data services , particularly Azure Databricks , Data Factory, and Blob Storage. Demonstrable knowledge of data pipeline orchestration and optimisation. Understanding of SQL for data More ❯

degree in sciences and further post-graduate study in mathematics, statistics or related field or equivalent industry experience. Experience with Python and SQL, including key packages such as Numpy, Pandas and Scikit-learn Have experience with implementation of machine learning concepts and methods Have a solid knowledge of statistical concepts and their applications Have great communication skills with a passion More ❯

Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯