Aristocrat is looking for a Machine learning EngineerSalary: Up to 73k gross/yearHybrid in Barcelona (2 days office / 3 days home)Perks:Gympass gold plan25 vacation days + 1 day on your birthdayFlexible payment - daycare, transport, etc.Pension plan 1% base salaryFood at the office twice a weekAristocrat is a global entertainment and content creation company powered by technology to deliver world-leading casino and mobile games. They offer a diverse range of products and services including electronic gaming machines, casino management systems, free-to-play mobile games and online real money games. One of their subsidiaries is Product Madness, a leading global mobile game studio, known for creating popular, free-to-play social casino games like Heart of Vegas, Cashman Casino, and Lightning Link Casino, bringing casino-style fun to mobile devices with a focus on player entertainment and innovation.Product Madness is a leading general mobile game studio, known for creating popular, free-to-play social casino games like Heart of Vegas, Cashman Casino, and Lightning Link Casino, bringing casino-style fun to mobile devices with a focus on player entertainment and innovation. It is a subsidiary of Aristocrat.About the RoleWe seek an ambitious ML/AI Engineer to join our team. You will help improve our AI capabilities and craft the future of our products. This role offers a chance to work on mature machine learning systems and pioneering AI technologies. You will make a real difference in our products and players' experiences.What You'll DoDeploy machine learning models that support game features, player experience,



and operational efficiency.Improve the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness.Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support.Develop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces.Help build and implement model monitoring systems to ensure long-term performance and business alignment.Collaborate with teams across product, data, and engineering to identify where ML and AI can bring value.Communicate results, limitations, and recommendations clearly across technical and business collaborators.What We're Looking For5+ years of experience applying machine learning to real-world problems, from data to deployment.Strong Python skills and hands-on experience with ML Python libraries.Solid SQL expertise and experience working with large data warehouses.Comfort working with cloud platforms (e.G., GCP, AWS, Azure), Docker, and Airflow.Ability to build simple user interfaces (e.G., Streamlit) to expose ML models or AI applications to wider teams.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) is a plus, but not a must.Curiosity, initiative, and a desire to learn and grow in a fast-evolving space.Degree in a relevant technical field or equivalent experience.Health insurance - CIGNAGympass gold plan25 vacation days + 1 day on your birthdayFood at the office twice a weekSo, what’s stopping you?Their ValuesPeople FirstThey have the deepest respect for their people and their well being. They know they are exceptionally talented and will always have a choice. They want them to re-choose us every day. They are committed to building a culture where each person's voice will always be heard and addressed.MAD for MoreAlways improving, innovating and never settling for the existing. They push all boundaries with courage and ambition to become the world’s best games company.Champion TogetherThey excel at what they do but yet remain humble and helpful to their teammates. They champion one another and hold each other to high standards without any egos.Globally InclusiveThey are all Equal - regardless of the language we speak, where employees live, their gender, religion or culture they come from. They want to build a global home, where everyone has the equal opportunity to make an impact.Customer FocusedThey always think from the customer's perspective—be it players or internal customers. Improving their experience and joy is what drives them. Every client's success is their big win!#J-18808-Ljbffr

📌 Ai Lab - Junior Machine Learning Engineer (Les)
🏢 agap2 Spain
📍 Les