ML Engineer

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. These roles primarily support the Machine Learning area of our Product Madness business line — a tech company specialised in social casino mobile games. We are looking for an ML Engineer to join our MLOps team and strengthen its modeling core. You will own machine learning models end to end, from data and experimentation to production, and help us build the monitoring and experimentation culture that keeps them reliable and aligned with the business over time. You will make a real difference in our products and players' experiences.

What You'll Do

• Design, train, evaluate and retrain machine learning models with emphasis on recommender systems — that support game features, player experience, and operational efficiency.
• Own the design of our model performance monitoring: define what to track (drift, data quality, degradation), thresholds, and what “the model is still healthy” means in business terms.
• Help establish a solid experimentation culture: model versioning and experiment tracking with tools such as MLflow or Weights & Biases, so experiments are reproducible and model versions are easy to compare and promote.
• Help establish a model governance culture: define how models are promoted to production and lay the foundations of the communication contract between the MLOps team and Data Science.
• Create templates and cookiecutter scaffolding to standardise how Data Science structures, hands off, and communicates its models and experiments.
• Build robust training and feature-engineering pipelines, and write clean, production-ready Python and SQL.
• Explore and contribute to early-stage projects involving LLMs, RAG and agentic AI where they bring value — as a complement to the role, not its core.
• Develop simple interfaces (e.g., Streamlit) to expose ML capabilities to non-technical users when useful.
• Collaborate with teams across product, data, and engineering, and communicate results, limitations, and recommendations clearly across technical and business audiences.

What We're Looking For

• 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.

Why Aristocrat?

Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. Aristocrat has three operating business units, spanning regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness), and regulated online real-money gaming (Aristocrat Interactive). Our team of over 7,300 employees worldwide is united by our company’s mission to bring joy to life through the power of play.

We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to brighten life through the joy found in play.

Travel Expectations - Minimal travel required (up to 5%)

Hybrid role with 3 days at the office weekly.

Additional Information

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.

Cette description de poste a pu être révisée et améliorée à l’aide d’outils d’assistance basés sur l’intelligence artificielle afin d’en accroître la clarté, la cohérence et l’inclusivité. Tout le contenu final, les exigences du poste et les décisions d’embauche demeurent soumis à l’examen et à l’approbation de personnes responsables chez Aristocrat.

Philosophie de rémunération

Nous offrons un programme complet de rémunération et d’avantages sociaux conçu pour demeurer concurrentiel sur le marché, soutenir votre bien-être et reconnaître votre contribution à notre réussite. Notre approche repose sur un principe de rémunération au rendement qui récompense l’impact individuel. Votre programme de rémunération sera déterminé en fonction de facteurs tels que vos compétences, votre expérience, vos qualifications et votre lieu de travail.

Selon votre poste et votre lieu de travail, vous pourriez être admissible à des primes et incitatifs annuels, à des avantages liés à la santé et au bien-être, à des congés rémunérés, à des régimes de retraite, à une couverture d’assurance ainsi qu’à d’autres avantages locaux ou prévus par la loi.

Les détails précis de la rémunération et des avantages associés à ce poste seront discutés au cours du processus de recrutement.