7 of 7 Part-Time NumPy Jobs in England

with significant industry or research experience in the field \n Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) \n Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals ...

NICE TO HAVE BUT NOT ESSENTIAL \n \n \n Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly \n \n Experience leading a team or owning a whole product domain \n\n PROCESS \n 1) Screening call with recruiter - 30 mins ...

experience and solid understanding of machine learning and deep learning methods \n Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) \n Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

using mathematical, ML and software techniques to solve industrial problems and deliver business impact. \n · Modern Tech Stack: Advanced proficiency in Python (pandas, NumPy, scikit-learn) and SQL. \n · Communication: Exceptional ability to explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. ...

proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use \n Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows \n Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline ...

understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) \n Extensive experience with pytorch, numpy, pandas \n Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) \n Able ...

deploy business-critical, data-intensive applications \n Extensive experience with AWS and Kubernetes \n Proficiency with lower-level libraries such as PyTorch and NumPy \n Hands-on experience implementing distributed, multi-threaded, and scalable applications \n Experience with automated building, testing, and deployment pipelines \n Familiarity with higher-level interfaces ...