151 to 175 of 176 NumPy Jobs

insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Strong problem-solving ...

insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Strong problem-solving ...

Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling … some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science ...

London-based Financial Services Clients. You will need: Extensive hands-on development experience with Python within Financial Services Strong background working with Pandas & NumPy Good experience with Django and Javascript Strong experience working within a risk environment Proficiency with Python libraries such as NumPy, Pandas, Paramiko, etc. What ...

London-based Financial Services Clients. You will need: Extensive hands-on development experience with Python within Financial Services Strong background working with Pandas & NumPy Good experience with Django and Javascript Strong experience working within a risk environment Proficiency with Python libraries such as NumPy, Pandas, Paramiko, etc. What ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices ...

framework across the entire engineering organization. Pioneer AI-Driven Testing: Research and implement modern testing strategies using lightweight AI/ML techniques (e.g., NumPy, SciPy, scikit-learn) to create more intelligent, adaptive, and realistic workloads for cluster, storage, and QoS validation. Uphold Code & Product Quality: Champion high standards by leading … behavior. AI/ML for QA (Preferred): Experience applying data science or machine learning techniques to solve testing problems. Familiarity with libraries like Pandas, NumPy, SciPy, and scikit-learn is a strong plus. Scripting: Proficiency in Bash is a must. Bonus points for Go or C++ experience. Leadership & Soft Skills ...

framework across the entire engineering organization. Pioneer AI-Driven Testing: Research and implement modern testing strategies using lightweight AI/ML techniques (e.g., NumPy, SciPy, scikit-learn) to create more intelligent, adaptive, and realistic workloads for cluster, storage, and QoS validation. Uphold Code & Product Quality: Champion high standards by leading … behavior. AI/ML for QA (Preferred): Experience applying data science or machine learning techniques to solve testing problems. Familiarity with libraries like Pandas, NumPy, SciPy, and scikit-learn is a strong plus. Scripting: Proficiency in Bash is a must. Bonus points for Go or C++ experience. Leadership & Soft Skills ...

Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail … Front End experience in React to build front end for the AIML solutions is a plus. Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. Experience with building, training & finetuning AIML models ...

Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. • Agentic AI, CoPilot, MCPs. • AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) • Python (NLTK, NumPy, Scikit-learn, Pandas) Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail … Front End experience in React to build front end for the AIML solutions is a plus. • Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). • Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. • Experience with building, training & finetuning AIML models ...

Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools … . Excellent problem-solving skills and ability to work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools ...

learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python, and the NumPy ecosystem, and desirable experience in AI frameworks and cloud platforms, you’ll stay at the forefront of industry trends through ongoing professional development … Strong knowledge of GenAI concepts, applications and prompt engineering Proficient in GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem. Industry Knowledge & Experience Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience working with ...

inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones … wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware ...