10 of 10 NumPy Jobs in Manchester

in a complex environment by driving initiatives forward. What Would Make You Stand Out: Python code for testing and use of Python frameworks (Pandas, Numpy, Requests) Exposure to Code quality metrics, and shift-left principles Experience testing container resiliency (Docker/Kubernetes) Experience designing large end to end performance scenarios More ❯

database systems – DynamoDB, DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design More ❯

ability to deliver high-quality results in complex environments. Bonus skills that’ll make you stand out: Python expertise with frameworks like Pandas and NumPy . Knowledge of Kafka , Kubernetes , and containerized application testing. Experience in performance validation and testing within CI pipelines. Familiarity with financial services or data-driven More ❯

a must Strong programming skills as evidenced by earlier work in data science or software engineering, including experience with standard libraries for data science (NumPy, Pandas, Scikit-Learn etc). Generalist expertise across the entire data lifecycle including data strategy, data governance, risk and ethics, architecture, modelling. Technology implementation including More ❯

/Adobe. Substantial experience with data warehouse platforms like Snowflake. Substantial experience with languages like SQL, Python. Substantial experience with Python libraries such as NumPy, Pandas, SciPy, scikit-learn. Applied knowledge of machine learning/statistical modelling techniques. Experience in using a tag management system like TealiumIQ. Knowledge of software More ❯

Solid understanding of BDD concepts and testing. Excellent analytical, problem-solving, and communication skills. Python coding for testing and use of Python frameworks (Pandas, Numpy, Requests). Exposure to code quality metrics and shift-left principles. Experience testing container resiliency (Docker/Kubernetes). Experience adding performance validation to CI More ❯

in multiple application domains (e.g. Natural Language Processing, Computer Vision) and expert knowledge in statistics. You are proficient in the Python Machine Learning stack (NumPy, pandas, scikit-learn, TensorFlow/PyTorch), have extensive experience in software development and are skilled with various database systems (relational/NoSQL). You are More ❯

experience in data science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data. Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). 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 ❯

least 1 year in a Data Science role, with practical experience applying machine learning techniques. Proficiency in Python, with experience using libraries like pandas, NumPy, scikit-learn, and PyTorch. A relentless drive to push model performance boundaries, a focus on client needs, and a dedication to delivering impactful results. Familiarity More ❯