101 to 125 of 268 Permanent NumPy Jobs

similar async Python frameworks) Strong working knowledge of modern machine learning — able to understand, integrate, and extend the functionality of an ML library (NumPy, SciPy, Pandas, and frameworks such as scikit-learn or PyTorch) Understanding of core ML concepts — model training, evaluation, and production trade-offs — enough to design robust ...

curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python‐based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux ...

curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python‐based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux ...

curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python‐based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux ...

version control. Strong understanding of algorithms, data structures, and software design principles. Familiarity with data manipulation and analysis tools such as Pandas, NumPy, and SQL. Experience across the Power Platform, including Power Apps, Power Automate, Power Pages and Dataverse, together with solution management, environments and application lifecycle management. Experience building ...

frameworks and research governance disciplines. Familiarity with credit deterioration modelling and interpretability approaches is advantageous. Technical Skills Python, including analytical libraries such as Pandas, NumPy, or Polars. SQL and database querying. Git, GitLab, GitHub, or equivalent version-control tools. Software testing and validation principles. Research and analytical workflow management. Desired ...

similar async Python frameworks) Strong working knowledge of modern machine learning — able to understand, integrate, and extend the functionality of an ML library (NumPy, SciPy, Pandas, and frameworks such as scikit-learn or PyTorch) Understanding of core ML concepts — model training, evaluation, and production trade-offs — enough to design robust ...

number of relevant years of experience: 8+ Detailed Job Description: JD: • 8+ years of experience in python scripting. • Exposed to python packages such as NumPy, pandas, polars beautiful soup, Selenium, Requests etc. • Experience in building native python ETL pipelines for scraping/processing. • Good to have experience in processing ...

Extendable)****JOB DETAILS:** **Technical Skills/Competencies:****Python:** Design, develop, and maintain Python scripts for data processing and transformation. Work extensively with Pandas and NumPy for data analysis and manipulation. Work experience in file processing libraries and other python libraries. Work extensively with testing frameworks (unittest/pytest). Manage ...

role you should have: Proficiency in Python: Ability to write functional, reproducible, and well documented code. Proficient with typical data scientist modules (pandas, numpy, matplotlib, scikit-learn). Strong Statistical knowledge: Good understanding of fundamental statistical concepts (e.g. bias, variance, R-squared). Good understanding of the theory and practice ...

Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...

Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want to make ...