1 to 25 of 117 Pandas Jobs

. Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools ...

Machine Learning, Natural Language Processing, Generative AI, and advanced analytical techniques • Proficiency in Python and experience with AI and data science frameworks such as pandas, scikit-learn, TensorFlow, PyTorch, or LangChain • Experience developing and deploying AI models into production environments • Solid understanding of data engineering principles, including data preparation, integration ...

machine learning expertise with hands-on experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python (e.g. pandas, scikit-learn, NumPy, TensorFlow/PyTorch) Proven experience in model productionisation and deployment in real-world environments Hands-on experience with MLOps, including CI/ ...

must be current and transferable Proven experience as a Machine Learning Engineer within central government or regulated environments Strong programming skills in Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ...

decisions. Required Skills & Experience Strong analytical skills with experience working with large-scale and unstructured datasets. Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step ...

Strong expertise in Machine Learning, Generative AI, Natural Language Processing, Advanced Analytics, and ideally Computer Vision. Excellent Python development skills with frameworks such as pandas, scikit-learn, TensorFlow or PyTorch, and LangChain. Experience with cloud AI services including AWS Bedrock, Azure Machine Learning, or Google Cloud AI Platform. Good understanding ...

stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium ...

testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python , especially data-science-relevant libraries (e.g., numpy, pandas, scikit-learn, etc.). Familiarity with database management tools and techniques (e.g., SQL, S3, API protocols) preferred but not required. Understanding of model evaluation methods ...

support vital national security projects. In order to be successful, you will have the following experience: Experienced in the Python data stack (PySpark, numpy, pandas, scikit-learn, etc.) Experienced within AWS-based infrastructure and services Excellent communication skills, able to work with customers to shape requirements Hold active SC clearance ...

good working knowledge of SQL and relational databases. Data Analysis Tools: Experience working with structured datasets and executing data transformations using libraries like Pandas and NumPy. Version Control: Practical experience using Git. Beneficial Requirements Experience with cloud platforms (Azure is preferred, or AWS/GCP). An understanding of Docker ...

function calling, agentic workflows), including evaluation and safety patterns. Expertise with machine learning frameworks and data science packages (e.g., PyTorch, TensorFlow, Scikit-Learn, NumPy, Pandas, SciPy, statsmodels). Experience deploying to AWS (e.g., SageMaker, Bedrock) and operating production workloads with attention to cost, performance, security, and scaling. Experience integrating human ...

function calling, agentic workflows), including evaluation and safety patterns. Expertise with machine learning frameworks and data science packages (e.g., PyTorch, TensorFlow, Scikit-Learn, NumPy, Pandas, SciPy, statsmodels). Experience deploying to AWS (e.g., SageMaker, Bedrock) and operating production workloads with attention to cost, performance, security, and scaling. Experience integrating human ...

explain code and talk through problem-solving Git experience Computer Science or related degree Personal projects or evidence of curiosity Nice to have: pandas experience Exposure to Azure or AWS Basic Docker or DevOps knowledge Interest in AI/ML Experience with streaming tools (Kafka, RabbitMQ) Hybrid working – 3 days ...

etc.). Attributes Need to Haves: C++ - Strong understanding of multithreading, asynchronous programming, network protocols Advanced knowledge of Python and related frameworks (FastAPI, NumPy, Pandas, Pydantic) including multithreading and parallel design principles. Understanding of AWS, including knowledge of Cognito, Pinpoint, IoT, MSK and other services. Deep understanding of user-centered ...

Senior Quant Data Scientist Deep understanding of: Regression, classification, and ranking models Time-series analysis & feature engineering Hands-on experience with: Python (pandas, NumPy, scikit-learn, etc.) Gradient boosting frameworks (XGBoost/LightGBM/CatBoost) Experience working with LLMs (prompting, RAG, embeddings, evaluation) Ability to work across structured + unstructured ...

scale distributed systems in an agile environment and the ability to build quick prototypes - Excellent knowledge of Python and core data science libraries including Pandas, NumPy and other similar libraries - Experience mentoring junior team members - Excellent problem solving and communication skills Preferred Qualifications - Knowledge of the healthcare domain and experience ...

scale distributed systems in an agile environment and the ability to build quick prototypes - Excellent knowledge of Python and core data science libraries including Pandas, NumPy and other similar libraries - Experience mentoring junior team members - Excellent problem solving and communication skills Preferred Qualifications - Knowledge of the healthcare domain and experience ...

5+ years of experience developing AI/ML applications and data-driven solutions • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including foundation model APIs, prompt engineering, and retrieval augmented generation • Substantial depth and breadth across state ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...