908 python English-speaking jobs in Lisbon District

Good working knowledge of SQL, Python and data processing frameworks such as PySpark or Pandas.

Develop, test, deploy and own Python microservices that deliver business and user value. ... Our stack is based on Python microservices but we are open to strong candidates with relevant experience

& Data Stack You are proficient in Python with hands‐on experience using Pandas, NumPy, Scikit‐learn ... quasi‐experimental design; familiarity with PyMC or comparable probabilistic programming tools is a strong plus Python

Proficiency in Python and strong SQL/pandas skills. Solid understanding of streaming fundamentals.

databases Strong skills in writing complex SQL queries (knowledge of DBT Core is a plus) Proficiency in Python

Strong SQL and Python skills for data manipulation and automation. ... Build and improve automated data pipelines using Python, SQL and AI.

Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines ... Contribute across the tech stack: You'll work in React (JavaScript/TypeScript) on the frontend and Python

management, and performance optimization; Experience or demonstrable interest in working with LLMs and Python ... technical integration of Large Language Models (LLMs) into core applications, bridging .NET backends with Python-based

Experience with programming languages such as Python or R Familiarity with popular libraries/frameworks ... ideal candidate should have a strong background in machine learning and programming languages such as Python

MLOps: Improving ML pipelines at scale Core Stack Python APIs: FastAPI Containerization: Docker, Kubernetes ... Skills Solid software engineering fundamentals (OOP, Git, concurrency, parallelism) Proficiency in Python

Experience in developing machine learning projects (Python, R or SAS), deploying models to production ... (PLUS) Implementation of code (R, Python) and/or proficient use of PaaS cloud services (Azure preferred

Python and FastAPI-based services. Microservice architectures and distributed systems. ... You'll lead a diverse backend engineering population spanning both Java/Spring Boot and Python/FastAPI ... Build Organisational Capacity Own workforce planning and capacity management across Java and Python engineering

Must-have tech skills: experience leveraging large-scaledata to build ML/DL models with Python, MLOps ... Tech stack You'll primarily work with Python and its scientific stack, deploying ML and DL models with ... bring 8+ years of hands-on experience applying ML/DL techniques to solve real-world problems using Python

Strong coding background in Python and solid understanding of object-oriented programming. ... Must-have tech skills: Python for ML, MLOps, experience in GenAI application development (nice to have ... Tech stack You'll be working within the Python machine learning ecosystem and applying MLOps principles

Ideally you bring Proven experience in large-scale software development using Python . ... Tech stack Python Spark / PySpark Azure / AWS (cloud environments) MLflow / Kubeflow CI/CD/CT pipelines ... Must-have tech skills : Python, Microsoft Azure or AWS, Spark and PySpark, MLflow/Kuberflow, ML algorithms

Use Python (pandas, seaborn, scikit-learn, SciPy) for analysis, data quality checks, lightweight ETL/ ... stack for wallet funnels, wagering behavior, lifecycle marketing, and compliance—using SQL , dbt , Python ... Python: Proficient in analytics and data engineering (e.g., pandas); capable of writing modular, maintainable

Docker Elasticsearch PostgreSQL Nice to have Terraform, Python, ETL, Elasticsearch SCALA knowhow ... Continuous Integration / Continuous Delivery environments Automated Build Pipelines Desired Python

Proficiency in Python and data analysis libraries for cleansing, transformation, and exploratory analysis ... Technical Skills Data Analysis & Data Profiling Data Pre-processing & Data Cleansing SQL & Data Querying Python

Develop and maintain automation scripts using Shell, Bash, and Python. ... Shell Scripting, Bash, and Python. Continuous Integration tools (Jenkins, Travis, or Concourse).

Design and implement APIs and Python-based services supporting AI use cases.