experience. Experience in system design, application development, testing, and operational stability, especially with data pipelines. Proficiency in Python and data manipulation libraries such as NUMPY and PANDAS. Experience with PySpark, including analysis, pipeline building, tuning, and feature engineering. Knowledge of SQL and NoSQL databases, including joins, aggregations, and tuning. Experience More ❯
and debugging and understanding of system performance and scalability PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯
datasets using Python. Practical expertise and work experience with ML projects, both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Bright Purple Resourcing
and large-scale projects. What youll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases like SQL More ❯
statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This More ❯
a Data Scientist or in a similar analytical role. Strong programming skills in Python or R, with proficiency in data manipulation libraries (e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau, Matplotlib). Solid understanding of statistics, probability, and data More ❯
the UK Ability to communicate in English fluently The ' nice to have ' but not essential for applying Strong experience with Python libraries - pandas or numpy Experience with CI/CD, including containerisation (Docker), test automation and cloud deployment Experience with neural rendering, computer vision and/or computer graphics Collaborating More ❯
