> Markdown version of [/jobs/ext/3592363-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3592363-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Engineer - **Company:** Aristocrat - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Database, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Standard Sql, Google Cloud, Pytorch, Retrieval-Augmented Generation, Large Language Models, Snowflake, Software Application Programming, Generative AI, Agentic-AI, Scikit Learn, Information Technology, CrewAI, Xgboost, Machine Learning Operations, Streamlit Framework, Docker - **Published:** October 6, 2026 - **Apply:** https://www.recruit.net/job/ml-engineer-jobs/E98D3262AD6CE4C9 ## About the Role * 4+ years of experience applying machine learning to real-world problems, from data to deployment. * Proven experience with recommender systems (collaborative filtering, ranking, or similar) applied to real products. * Strong Python skills and hands-on experience with ML libraries (scikit-learn, PyTorch/TensorFlow, XGBoost or similar). * Solid SQL expertise and experience working with large data warehouses. * Hands-on experience with experiment tracking and/or model registry tools (MLflow, Weights & Biases, or equivalent). * Experience designing or contributing to model monitoring / performance tracking in production. * Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow. * A strong analytical foundation, with a background in a quantitative field (mathematics, physics, computer science, engineering) or equivalent experience. Nice to Have * Experience with Snowflake or similar cloud data warehouses. * Hands-on experience building applications with Generative AI (LLMs), including API integration. * Interest or early experience in RAG systems - whether through prototypes, side projects, or professional work. * Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI). * Ability to build simple user interfaces (e.g., Streamlit) to expose ML models to wider teams. ## Description Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate. This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.