16 to 40 of 198 Pandas Jobs

experiments, and technical processes. Required Skills & Qualifications Classic Machine learning (Regression, predictive Analysis, Classification, Clustering) Machine learning Model Optimisation Strong proficiency in Python (NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. ...

experience required Proven experience delivering production algorithms/data models (forecasting, pricing, optimisation or similar) Strong Python proficiency and modern data stack exposure (SQL, Pandas/NumPy + PySpark; Dask/Polars/DuckDB a bonus) build, schedule and optimiseSpark/PySpark pipelines in Databricks (Jobs/workflows, performance tuning ...

GenAI solutions then this could be for you! Were looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document ...

team-focused mindset. Nice-to-Have Skills Exposure to cloud platforms like AWS, Azure, or GCP. Experience with data manipulation libraries like pandas or NumPy. Familiarity with APIs and working with large datasets. Understanding of version control systems like Git. Why Join Us? Professional Growth : Gain invaluable experience and mentorship ...

domains. Experience with recommender systems, personalisation, or deep learning is desirable but not essential. Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. Good understanding ...

inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient ...

inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient ...

home - Set up your home office exactly how you want it with a dedicated budget for comfort and productivity. Fuel and focus on-site - Pandas in Vienna, Bucharest, Barcelona, and Berlin can enjoy free onsite dining, with freshly prepared lunches and snacks to keep you fuelled and focused ...

toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network ...

toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network ...

systems Background in trading systems, market data, or quantitative infrastructure Solid understanding of concurrency, algorithms, OOP, and system design Experience with Python (NumPy/Pandas) in a scientific or trading context Comfortable working in Unix/Linux environments Experience with SQL/NoSQL/tick databases is a plus Exposure ...

systems Background in trading systems, market data, or quantitative infrastructure Solid understanding of concurrency, algorithms, OOP, and system design Experience with Python (NumPy/Pandas) in a scientific or trading context Comfortable working in Unix/Linux environments Experience with SQL/NoSQL/tick databases is a plus Exposure ...

Software Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven ...

Software Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven ...

advantage. Solid experience in AI/ML libraries such as Transformers/PyTorch, and object detection tools like OpenCV. Skilled in data processing with Pandas, NumPy, and database operations using SQLAlchemy. Experience in AWS services, including Lambda functions and S3 operations. API development using FastAPI and knowledge of authentication methods ...

similar frameworks (TensorFlow can be considered), such as supporting ML pipelines or delivering a substantial project over 6-12 months. Experience limited to Pandas or NumPy alone would not be suitable. Hybrid working, London-based, £700 per day inside IR35. For more information, please apply or contact Harnham ...

data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling ...

issues. As Junior Data Engineer, you will have: Strong proficiency in Python, particularly for data manipulation and automation scripts; experience in libraries such as pandas, PySpark, numpy, pyodbc or associated would be beneficial Hands-on experience (or academic project experience) using PySpark. An understanding of ETL/ELT processes ...

week sprint cycles, and collaborating closely with cross-functional teams to deliver high-quality solutions. The Engineering Team develop predominantly be in Python, with Pandas and SPARQ Data frames for backend APIs, and with JavaScript with React for the front end and an understanding of these technologies is beneficial. ...

week sprint cycles, and collaborating closely with cross-functional teams to deliver high-quality solutions. The Engineering Team develop predominantly be in Python, with Pandas and SPARQ Data frames for backend APIs, and with JavaScript with React for the front end and an understanding of these technologies is beneficial. ...

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. ...

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. ...

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 ...