3178 python English-speaking jobs in Poland

Strong backend development experience using technologies such as Java, C#, Python, Node.js, TypeScript ... Requirements: Prototypes, AI, Testing, Java, C#, Python, Node.js, TypeScript, REST API, Relational database

These teams hire system‑level C/C++, Go, Rust and Python developers to work on security‑critical, performance‑critical

These teams hire system‑level C/C++, Go, Rust and Python developers to work on security‑critical, performance‑critical

These teams hire system‑level C/C++, Go, Rust and Python developers to work on security‑critical, performance‑critical

Backend (Microservices): Kotlin, Groovy, Python, Micronaut, Flask, Gatling, Locust, Spock, FastAPI, Pytest

Asset Analytics Engineer focuses on end-to-end technical deployment of predictive models across industrial asset fleets using platforms like SmartSignal. Requires 5+ years in data analytics, strong Python/SQL skills, and experience with historian data systems.

Asset Analytics Engineer focuses on end-to-end technical deployment of predictive models across industrial asset fleets using platforms like SmartSignal. Requires 5+ years in data analytics, strong Python/SQL skills, and experience with historian data systems.

Asset Analytics Engineer focuses on end-to-end technical deployment of predictive models across industrial asset fleets using platforms like SmartSignal. Requires 5+ years in data analytics, strong Python/SQL skills, and experience with historian data systems.

Asset Analytics Engineer focuses on end-to-end technical deployment of predictive models across industrial asset fleets using platforms like SmartSignal. Requires 5+ years in data analytics, strong Python/SQL skills, and experience with historian data systems.

experience on commercial problems (churn, LTV, propensity, attribution, pricing, or similar).Strong SQL and Python

Strong hands‑on experience with Python and ML libraries such as pandas, NumPy, scikit‑learn, XGBoost,

Strong hands‑on experience with Python and ML libraries such as pandas, NumPy, scikit‑learn, XGBoost,

rule development, and feature engineering to enhance model accuracy] Requirements: Data analytics, Python

rule development, and feature engineering to enhance model accuracy] Requirements: Data analytics, Python

rule development, and feature engineering to enhance model accuracy] Requirements: Data analytics, Python

rule development, and feature engineering to enhance model accuracy] Requirements: Data analytics, Python

quality assurance.Experience with cloud solutions, especially Microsoft Azure.Practical knowledge of SQL, Python ... AI-supported workIn this role, you will:Design, build and maintain ETL/ELT processes using SQL, PySpark and Python

architecture, and Data Product design principles Strong programming and data engineering skills in Python

You possess outstanding knowledge of Python, especially for data analysis, data engineering, and ML model

roleProven expertise working with large datasets in financial or banking sectorsStrong programming skills in Python