1 to 25 of 36 NumPy Jobs in the North West

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 ❯

on ML experience in real-world settings Advanced degree in statistics, mathematics, computer science, or similar Strong background in Python, SQL, and key libraries (NumPy, Pandas, Scikit-Learn) Solid understanding of machine learning algorithms, time series forecasting, and model evaluation Familiarity with cloud platforms (AWS and/or GCP) Experience More ❯

time series, spatial, and network data. Excellent programming skills in common languages (e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools More ❯

commutes. We consider a reasonable commute to be no longer than 1.5 hours each way) Strong Python skills, including the use of relevant libraries (NumPy, pandas, etc.) Experience in 2 or 3 of the following: Using data analysis tools Processing large data sets accurately Using relational databases Previous experience of More ❯

highest standards of analysis and reporting to key stake holders Numeric degree ideally to Masters level (min 2:1) Working knowledge of Python, Pandas, NumPY, PyTest, Java and R Understanding of machine learning techniques, such as clustering, classification, and regression Previous experience presenting information to key stakeholders Nice to haves...... More ❯

ll need strong experience delivering and monitoring and scalable ML/AI solutions via automated ML Ops. Expert knowledge of Python and SQL, inc. Numpy, Pandas, PySpark and Spark SQL - Expert knowledge of ML Ops frameworks in the following categories: b) orchestration of ML workflows (e.g. c) data and pipeline More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able More ❯

Ideally, you’ll also be technically skilled in most or all of the below: - Expert knowledge of Python and SQL, inc. the following libraries: Numpy, Pandas, PySpark and Spark SQL - Expert knowledge of ML Ops frameworks in the following categories: a) experiment tracking and model metadata management (e.g. MLflow) b More ❯

Ideally, you’ll also be technically skilled in most or all of the below: - Expert knowledge of Python and SQL, inc. the following libraries: Numpy, Pandas, PySpark and Spark SQL - Expert knowledge of ML Ops frameworks in the following categories: a) experiment tracking and model metadata management (e.g. MLflow) b 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 ❯

better. What you’ll do Interrogate large datasets in SQL to analyse depot efficiency, delivery timelines, stock levels, and service bottlenecks Use Python (Pandas, NumPy, scikit-learn/statsmodels) to apply performance models or forecasting where needed Build and maintain some Power BI dashboards — but you won’t be buried More ❯

real customer environments to ensure effectiveness. Qualifications: Essential Strong software engineering and programming skills in Python, with experience in ML/CV environments (e.g., Numpy, OpenCV). Experience with CI/CD systems and test-driven development. In-depth knowledge of Linux operating systems. Excellent communication skills and a positive More ❯

in a real-life customer environment Qualifications: Essential Strong software engineering and programming skills in Python and ideally in an ML/CV environment ( Numpy , OpenCV) Experience with CI/CD systems , with a test-driven development approach In-depth k nowledg e of Linux operating systems Strong communication skills 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 ❯

BI/Fabric Strong problem-solving and critical thinking abilities Excellent communication skills and stakeholder engagement experience Familiarity with Python for data analysis (pandas, NumPy, etc.) - desirable Understanding of data warehousing, ETL, and data governance - desirable Degree in a STEM subject - nice to have Knowledge of the energy/utilities More ❯

BI/Fabric Strong problem-solving and critical thinking abilities Excellent communication skills and stakeholder engagement experience Familiarity with Python for data analysis (pandas, NumPy, etc.) – desirable Understanding of data warehousing, ETL, and data governance – desirable Degree in a STEM subject – nice to have Knowledge of the energy/utilities More ❯

data structures, software architecture, and data modeling. Experience with tabular data, computer vision, imagery, point clouds, and game datasets. Proficiency with ML libraries like NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras; familiarity with CI/CD, version control (GitLab, Perforce), and cloud platforms (preferably AWS). Benefits include More ❯

a model - adding logic, enhancements, and/or information to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Why join them: Be More ❯

a model - adding logic, enhancements, and/or information to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Linux Why join them More ❯

inputs, and logic behind model performance Refine and test solutions to ensure they perform in production scenarios What You’ll Need Strong Python skills (NumPy, OpenCV) Familiarity with PyTorch or TensorFlow Computer Vision Experience working with ML pipelines and tooling (CI/CD, TDD) Comfortable working in a Linux environment More ❯