ML Engineer
Aristocrat is seeking an ML Engineer to join the MLOps team within its Product Madness business line. This role focuses on strengthening the modeling core for social casino mobile games by owning machine learning models from initial data and experimentation through to production.
The successful candidate will help build a robust culture of monitoring and experimentation to ensure models remain reliable and aligned with business objectives. This position involves collaborating across product, data, and engineering teams to deliver impactful solutions that enhance player experiences and operational efficiency.
- 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.
- 4+ years of experience applying machine learning to real-world problems, from data to deployment (required).
- Proven experience with recommender systems (collaborative filtering, ranking, or similar) applied to real products (required).
- Strong Python skills and hands-on experience with ML libraries (scikit-learn, PyTorch/TensorFlow, XGBoost or similar) (required).
- Solid SQL expertise and experience working with large data warehouses (required).
- Hands-on experience with experiment tracking and/or model registry tools (MLflow, Weights & Biases, or equivalent) (required).
- Experience designing or contributing to model monitoring / performance tracking in production (required).
- Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow (required).
- A strong analytical foundation, with a background in a quantitative field (mathematics, physics, computer science, engineering) or equivalent experience (required).
- Experience with Snowflake or similar cloud data warehouses (nice-to-have).
- Hands-on experience building applications with Generative AI (LLMs), including API integration (nice-to-have).
- Interest or early experience in RAG systems - whether through prototypes, side projects, or professional work (nice-to-have).
- Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) (nice-to-have).
- Ability to build simple user interfaces (e.g., Streamlit) to expose ML models to wider teams (nice-to-have).
- Comprehensive pay and benefits package designed to stay competitive in the market, support wellbeing, and recognise contribution.
- Specific details about compensation and benefits for this position will be discussed during the recruitment process.
Aristocrat Leisure Limited is an Australian gaming and technology company and one of the world's largest providers of gambling products. Listed on the Australian Securities Exchange and headquartered in Sydney, it designs and manufactures electronic gaming machines and casino-management systems, and runs sizeable online real-money gaming (Aristocrat Interactive) and mobile games (Pixel United) businesses. Founded in 1953, the group employs more than 7,000 people across over 20 locations worldwide. It is the largest gaming-machine manufacturer in Australia and among the biggest slot-machine makers globally.