126 to 150 of 287 Permanent NumPy Jobs

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 ❯

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 ❯

experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to More ❯

experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to More ❯

experience can substitute for a BS degree) Security Clearance-Current active TS, SCI eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK) Fluency with data extraction, custom translation development, and loading including data prep More ❯

Qualifications 7+ years of experience in data science or machine learning roles, ideally in a product or tech-led environment Strong skills in Python (NumPy, pandas, scikit-learn, etc.) and SQL; familiarity with PyTorch or TensorFlow is a plus Proven experience deploying ML models in production environments Comfortable working 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 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

techniques to sporting events. Intermediate programming skills in Python and SQL. Excellent skills manipulating, exploring and analysing data, including with libraries such as pandas, Numpy and Scipy. Experience interacting with databases. A problem-solving growth mindset with the ability to pick up new tools and concepts quickly. Able to interact More ❯

Hands-on experience building or significantly overhauling a data system or centralised reporting platform. Proficiency in Python for data automation and transformation (e.g. pandas, NumPy). Strong working knowledge of SQL and relational databases (e.g. MySQL, PostgreSQL). Comfortable working with large datasets (CSV/Excel/API-based) and More ❯

publications at top-tier peer-reviewed conferences or journals. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

complexity is required Preferred: Experience with Java development IDEs (e.g., IntelliJ, Eclipse) Exposure to/basic familiarity with Python libraries for scientific programming (e.g., NumPy, pandas) Experience with Agile development practices Experience with Atlassian tools (Jira, Confluence) Experience with Gitlab Experience with container technologies (e.g., Docker, Kubernetes) Familiarity with ELK More ❯

into Docker containers as part of a distributed architecture. Requirements: 1-3 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python More ❯

statistics and machine learning to real-world problems Experience deploying machine learning models into live services using Python Expertise in Python and libraries like numpy, pandas, matplotlib, scikit-learn, tensorflow; knowledge of other languages is a plus Familiarity with CI/CD, Docker, cloud hosting, and good software engineering practices More ❯

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

other stakeholders. What you'll need Excellent SQL skills. A drive to solve problems using data. Proficiency with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). Knowledge More ❯

field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to More ❯

junior role), (3-5 years for Mid-Level) and (5+ years for Senior) 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 Desired Skills: • Experience with More ❯

technical audience. Independent and self-driven learner, able to step outside of their area of expertise. Python; we work with asyncio, SQLAlchemy, FastAPI, Pydantic, NumPy, Pandas. SQL; performance tuning, schema design, monitoring in production, we mainly work with PostgreSQL. Cloud (AWS) deployments and monitoring, basic networking and security best practices. More ❯

and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline More ❯

proficiency with Excel and Python, SQL. Knowledge of agile methodologies/principles is a plus. Working knowledge and comfort level in using Python (inc. Numpy/Pandas) for data analysis. Job Responsibilities: Carry out data analysis using SQL (and Python as needed) for future feature requests. Support day to day More ❯

Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or other equivalent More ❯

on top of DPL. Knowledge of the basics of power system engineering and some appreciation of the GB network is essential. Expertise in Pandas, Numpy, Scipy, ML libraries, matrix manipulation, Networkx scientific algorithms, and Pyomo. Expert knowledge in data management and visualization techniques in Python is desirable. Version Control using More ❯

SQL, with the ability to query databases and manipulate large datasets. Proficiency in key Python libraries for data science, including Pandas, Scikit-learn, Statsmodels, NumPy, SciPy, Matplotlib, TensorFlow, and Keras. Solid understanding of machine learning techniques, such as clustering, tree-based methods, boosting, text mining, and neural networks. Expertise in More ❯