26 to 50 of 92 Permanent NumPy Jobs

software Experience integrating Python code 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 ORM tools for database as More ❯

on requirements Experience leading discussions 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 ORM tools for database as More ❯

architecture best practices. Work directly with customer stakeholders to align requirements and technical implementations.Required Skills & Experience (3-5 years minimum) Strong proficiency with Python data processing libraries (PySpark, Pandas, NumPy). Hands-on experience developing APIs with FastAPI or similar frameworks. Experience writing unit tests with PyTest and leveraging mocking frameworks. Familiarity with CI/CD pipelines and automated testing More ❯

and coding skills (e.g., Python, C++, or Java) - Previous work on agents or 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status More ❯

specific challenges Drive the adoption of best practices in data science across the organisation, lead other data science engineers MINIMUM QUALIFICATIONS Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical More ❯

skills with experience building complex, maintainable systems Professional software development experience with a track record of delivering high-quality, production-grade code Experience with scientific computing libraries such as NumPy, Pandas, or SciPy in production environments Holistic software development mindset covering testing, documentation, security, and performance Track record of mentoring other engineers and sharing knowledge across teams Working knowledge of More ❯

years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks 3+ years of experience with Python and Python tools, including Pandas or NumPy Experience with Large Language Models ( LLMs ) , ML, Deep Learning ( DL ) , and Reinforcement Learning ( RL ) Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, or LangChain Experience acquiring client More ❯

platform. Qualifications: 4+ years of relevant hands-on experience developing and implementing ML algorithms Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code) Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred Proven experience with modern More ❯

with customer stakeholders to align on requirements and technical implementations Must have: 3+ years of experience with Python 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 Nice to have: Experience with Python ORM tools for More ❯

Role Requirements 2-4 years' experience in applied machine learning and generative AI, including work with large language models. Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods). Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. More ❯

of. • 5+ years of Data Science development experience using Python • Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. • Strong proficiency in numpy & pandas. • Demonstrated skills with Jupyter Notebook or comparable environments • Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Dod Secret or higher preferred More ❯

implement basic AI algorithms and explore practical applications of AI. Overview of AI and Machine Learning Types of machine learning (supervised, unsupervised, reinforcement) Introduction to Python Libraries for AI - NumPy, Pandas, Matplotlib Scikit-learn for machine learning Building AI Models Data preprocessing Training and evaluating models Advanced Programming for AI Integration This programme aims to equip participants with the knowledge More ❯

Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM). Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with SQL/NoSQL databases, APIs, and data integration. Exposure to on-premise/open-source AI frameworks. Strong problem-solving and communication More ❯

experience equivalent (+4 years relevant 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 and labeling to enable data More ❯

Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work More ❯

Skills & Experience: Essential - Demonstrable experience in Machine Learning, NLP, and GenAI including LLM/SLM fine-tuning and prompt development. Proficiency in Python and data libraries such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow. Practical knowledge in SQL/NoSQL databases and API development/integration. Proven ability to analyze model performance and optimize for accuracy, efficiency, and scalability. More ❯

development environment Preferred Qualifications: 2-5 years Python work experience Any GUI development experience (Qt/PyQt would be ideal) Experience with Python data science libraries such as Pandas, Numpy, and Scipy XMIDAS familiarity C/C++ Code Management (Git would be ideal) Familiarity with the Atlassian tools (JIRA, Stash, Confluence, and Jenkins) and Gitlab Ability to analyze and improve More ❯

C++, Python or related language - 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 conducting research in a corporate setting Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other More ❯

5+ years of experience developing AI/ML applications, data science, or algorithm development Experience with Python and data science/machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.) Experience with one or more of the following: Applying unsupervised and/or supervised machine learning techniques Applying and/or developing algorithms based in More ❯

analysis, and root-cause analysis Working knowledge of basic analysis using tools such as Microsoft Excel, Microsoft Power BI, Qlik, Databricks, Tableau, and/or Python (with Pandas, Matplotlib, NumPy, SciPy, Seaborn, etc.) Experience drafting U.S. Navy documents and administrative products (instructions, TACMEMOs, publications, naval messages, etc.) At least 4 years of recent experience leading and training functional teams in More ❯

Data Analytics or AI Concentration) or related degree Technical Skills: Programming & Data Tools Proficiency in Python and R for machine learning and data analysis. Experience with libraries like Pandas, NumPy, and scikit-learn for data manipulation and model building. Familiarity with data visualization tools such as Matplotlib or Plotly. Machine Learning & Model Development Experience developing and fine-tuning machine learning More ❯

Top Skills: - Python - Machine Learning - JavaScript - Numpy and Pandas is a plus - This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the ability to be obtain an (Interim Secret, Interim Top Secret) - Because an active or interim DoD clearance is required, U.S. Citizenship is required Eligibility requirements apply to some benefits and may depend More ❯

Python with 2-5+ years of hands-on experience Familiarity with AI/ML concepts, or strong interest in learning quickly Experience with data processing tools (e.g., pandas, NumPy) Comfort working with JSON, APIs, and automation workflows Prior experience in a secure or classified environment is preferred Clearance: MUST HAVE active TS/SCI with CI poly More ❯

academic and industry advances in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference More ❯

DC/Northern Virginia with occasional travel to client sites. A degree in Computer Science or a related field. 3+ years of hands-on experience with Python coding (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.). Proven experience deploying machine learning models into production environments. Proficiency with SQL/NoSQL databases, version control tools (e.g., Git), Docker, and Kubernetes. Strong ownership More ❯