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# Ml Engineer

- **Company:** Aristocrat Technologies
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Design of User Interfaces, Python (Programming Language), Machine Learning, Standard Sql, SQL Databases, Google Cloud, Large Language Models, Software Application Programming, Generative AI, Scikit Learn, Machine Learning Operations, Streamlit Framework, Docker
- **Published:** September 13, 2026
- **Apply:** https://www.buscojobs.com.es/ml-engineer-en-madrid-ID-371660642

## About the Role

5+ years of practical ML experience from data to deployment
Strong Python skills with hands-on ML libraries
Solid SQL expertise with experience in large data warehouses
Experience with cloud platforms (GCP, AWS, Azure), Docker, and Airflow
Ability to build simple user interfaces (e.g., Streamlit) for non-technical users
Hands-on experience building applications with Generative AI (LLMs) and API integration

## Description

Descripción del trabajoExperteer Overview As an ML/AI Engineer at Aristocrat you will advance machine learning capabilities for gaming features and player experiences.You will work on mature ML systems and cutting-edge AI tech, shaping how products respond to players at scale.Expect cross-functional collaboration to deliver practical AI solutions that boost performance and engagement.This role offers the chance to deploy models, build user-friendly interfaces, and contribute to automation and decision-support initiatives with a meaningful impact on games.Compensaciones / BeneficiosDeploy machine learning models to support game features and player experience.Improve production-ready pipelines by refining SQL and Python data-transformation and modelling code.Contribute to early-stage projects involving LLMs, RAG systems, and agentic AI.Develop Streamlit-based tools to expose ML/AI capabilities to non-technical users.Build and monitor models to ensure long-term performance and alignment with business goals.Collaborate with product, data, and engineering teams to identify AI value opportunities.Communicate results, limitations, and recommendations to technical and business stakeholders.Responsabilidades5+ years of practical ML experience from data to deploymentStrong Python skills with hands-on ML librariesSolid SQL expertise with experience in large data warehousesExperience with cloud platforms (GCP, AWS, Azure), Docker, and AirflowAbility to build simple user interfaces (e.g., Streamlit) for non-technical usersHands-on experience building applications with Generative AI (LLMs) and API integrationRequisitos principalesRobust benefits packageGlobal career opportunitiesDiversity and inclusionCommitment to responsible gameplay and governanceEmployee wellbeing and sustainability values#J-*****-Ljbffr


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