1 to 25 of 132 Pandas Jobs

models What We’re Looking For: Essential Skills & Experience Proven experience solving complex, real-world problems using data science and analytics Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics Deep understanding of machine learning methods and their practical applicati on.Experience delivering multiple ...

platforms such as Databricks, Azure Data Factory, Snowflake, or similar Good programming skills in Python and SQL, with familiarity with data engineering libraries (e.g., pandas, PySpark, dbt) Solid understanding of data modelling, ETL/ELT processes, and Lakehouse concepts Experience with data quality frameworks, data governance, and compliance requirements. Familiarity ...

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 ...

TensorFlow, PyTorch, Scikit-learn AI/GenAI: prompt engineering (preferred), Claude CLI/Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs Data Tools (Optional): Pandas, NumPy, Spark APIs & Microservices development Version control (Git) Cloud & DevOps: Experience with AWS, Containers: Docker, ECS/EKS, CI/CD pipelines (GitHub Actions ...

DynamoDB, DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools such as JUnit, Mockito, PyTest, and Selenium. Strong working knowledge of the PyData stack—pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation, and experience with data analysis and troubleshooting data‐related issues. Knowledge ...

Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit‐learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem‐solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Story telling ...

Experience setting up CI/CD pipelines Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production ...

Deep understanding of Python Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self‐explanatory code Understanding of software design patterns, SOLID and DRY principles, and architectural patterns Experience with Git/GitHub ...

engineering best practices Identify opportunities for process improvement and platform optimisation Work with modern AI-assisted development tooling where appropriate Technical Environment Python Pandas/NumPy/Polars/PySpark Async processing/coroutines AWS cloud technologies Databricks Docker Relational and non-relational databases CI/CD and automated testing ...

Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit‐learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem‐solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Storytelling with ...

optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing ...

Skills and Experience5+ years of hands‐on kdb+ development experience.Strong expertise in kdb+/q and Python.Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience.Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies.Strong background in quantitative analysis, including mathematical ...

years of hands‐on kdb+ development experience. Strong expertise in kdb+/q and Python . Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn , with applied machine‐learning experience. Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies. Strong background in quantitative analysis ...

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 ...

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 ...

They're Looking For Around 3-5 years' experience in a Data Science or advanced analytics role Strong Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn Experience with gradient boosting frameworks (e.g. LightGBM or similar) Solid grounding in statistics and machine learning concepts Comfortable working with ...

sole British citizens and resided in the UK for 5 years or over. Key Responsibilities 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 ...

entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

/CD pipelines. Experience with Redis, Celery, RabbitMQ, or Kafka. Familiarity with microservices architecture. Knowledge of AI/ML libraries such as Pandas, NumPy, TensorFlow, or PyTorch is a plus. Qualificat ...

internal data science capabilities. Skills & Experience Significant commercial experience in Data Science, Machine Learning, or Advanced Analytics. Strong Python skills with experience using pandas, NumPy, Jupyter, and related tools. Hands-on experience building and deploying predictive models in production environments. Experience with pricing, forecasting, revenue optimisation, risk modelling, or similar ...

Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application ...

stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation ...

Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative discipline Are proficient with Python, including open‐source data libraries (e.g., Pandas, Numpy, Scikit‐learn) Have experience productionising machine learning models and/or AI solutions Are an expert in one of predictive modelling, classification, regression, optimisation ...

structured, semi-structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical ...

TensorFlow, or Keras for deep learning. AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions. CrewAI (or similar frameworks) for agentic AI projects. Pandas/NumPy for data processing and transformation. Intuition for selecting the right models and approaches for different use cases. Cybersecurity expertise is a plus ...