At Aristocrat, we are advancing gaming technology with modern, powerful solutions. Our mission is to bring happiness to life through play. We value collaboration, creativity, and a strong passion for excellence. We 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 Do

• Deploy 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 For

• 5+ 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.
   

Compensation Philosophy

We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.

Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.

Specific details about compensation and benefits for this position will be discussed during the recruitment process.