76 to 100 of 341 Permanent NumPy Jobs

/C# and Java Script (D3 or ChartJS) for web development. Knowledge of Cython, Numba, or Pybind11 for performance optimization. Familiarity with scientific computing (NumPy, Pandas, OpenCV). Knowledge of packaging and deployment tools (PyInstaller, Nuitka, cx_Freeze, or Briefcase). Familiarity with cross-platform development considerations. Understanding of security More ❯

techniques such as machine learning, deep learning, natural language processing, and computer vision Knowledge of ML Algorithms (Regression, Classification, Clustering) and Data Libraries (Pandas, NumPy) Experience with automated testing strategies and tools including Selenium, Cypress or Playwright Proficient in one or more programming languages, such as Python, R, Java, C# More ❯

requires a Quant Developer with expertise in designing productionised code and unit testing. Key Skills: Expert in Python development Experience working with Pandas and NumPy libraries Experience contributing in robust Python code to a Quant Library TDD Unit testing Object Oriented Design Desired Skills: Equity Derivatives Structured Products knowledge e.g. More ❯

a strong python software engineering skill set with a solid data science background so we will be looking for skills across: Python Python Frameworks (NumPy, Django, etc) Writing and implementing Code Testing Quality assurance Software tool deployment AWS (Lambda, AWS integrations etc) Metaflow & Prefect Key will be working with Raster More ❯

requires a Quant Developer with expertise in designing productionised code and unit testing. Key Skills: Expert in Python development Experience working with Pandas and NumPy libraries Experience contributing in robust Python code to a Quant Library TDD Unit testing Object Oriented Design Desired Skills: Equity Derivatives Structured Products knowledge e.g. More ❯

decisions Adapt analysis frameworks quickly based on dynamic requirements Preferred Qualifications Familiarity with Python/R for automation or advanced analysis (e.g., pandas/numpy) Knowledge of cloud data services ( Azure/AWS ) Experience in vertical domains (e.g., Finance/Supply Chain/Sales ) Exposure to data governance or ETL More ❯

iii. Agile methodologies and project management tools and utilization of project management tools (e.g., JIRA). iv. Statistical, mathematical, and database Python packages (e.g., NumPy, SQLAlchemy, or Pandas More ❯

Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well as More ❯

Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well as More ❯

understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Familiarity with big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Ability to work independently and as More ❯

Responsibilities Develop and implement quantitative analytics for balance sheet and risk management Design and code models in Python using libraries such as Pandas and Numpy Work with Technology teams to operationalise analytics and ensure production readiness Ensure models comply with risk governance frameworks and policy standards Contribute to continuous improvement More ❯

Responsibilities Develop and implement quantitative analytics for balance sheet and risk management Design and code models in Python using libraries such as Pandas and Numpy Work with Technology teams to operationalise analytics and ensure production readiness Ensure models comply with risk governance frameworks and policy standards Contribute to continuous improvement More ❯

and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in More ❯

and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in More ❯

with customer stakeholders to align on requirements and technical implementations 7+ years' demonstrated experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience More ❯

and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in More ❯

and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in More ❯

to align on requirements and technical implementations Required Skills: Minimum 3-5 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience More ❯

to align on requirements and technical implementations Required Skills: Minimum 3-5 years' experience with: • Data Processing Python Libraries such as PySpark, Pandas and Numpy • Experience with API development in Python using Python libraries such as FastAPI • Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: • Experience with More ❯

stakeholders to align on requirements and technical implementations Required Skills: 7+ years demonstrated experience with: • Data Processing Python Libraries such as PySpark, Pandas and Numpy • Experience with API development in Python using Python libraries such as FastAPI • Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: • Experience with More ❯

learning models for business applications - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc. - Experience in implementing Computer Vision algorithms. Posted: February 26, 2025 (Updated 2 days ago) Posted: March 7, 2025 (Updated 5 days ago) Posted More ❯

learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

Must-Have Requirements: 3-5+ years' experience applying classical ML in commercial settings Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn) Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.) Comfortable working across the full ML lifecycle Previous More ❯

and governance. Required Skills/Experience The ideal candidate will have the following: Experience in analytics or model/data engineering. Advanced Python skills (Numpy/Pandas). Strong SQL and relational database design expertise. Excellent communication skills. Benefits & Perks £6,000 per annum training & conference budget to help you More ❯

Experience building and maintaining microservices (e.g., using Flask, FastAPI, or similar frameworks). Strong Python coding skills, including experience with libraries such as Pandas, NumPy, SciPy, scikit-learn, and possibly PySpark. Deep understanding of regression, classification, time-series forecasting, and clustering methods. Strong communication and presentation skills for both technical More ❯