Join Aristocrat, a leading force in the mobile gaming industry, where innovation meets passion! We are dedicated to crafting outstanding gaming experiences and using data to drive strategic business decisions. By joining our collaborative and innovative team, you will have the opportunity to build the future of mobile gaming with your expertise in machine learning and AI. As an ML Engineer at Aristocrat, you will be key in creating and applying machine learning and AI solutions that boost personalized player experiences and business results. This role provides an outstanding chance to work where machine learning, software engineering, and AI application development meet. What You'll Do Develop ML solutions: Build, train, evaluate, and improve machine learning models for prediction, recommendation, personalization, and decision support. Build AI applications: Develop LLM-powered applications and workflows, including on-demand input engineering, retrieval-augmented generation (RAG), and tool integration. Construct ML/AI components: Produce software parts, services, and APIs that add machine learning and AI functionality to existing applications. Evaluate ML and AI systems: Analyze model performance, verify AI outputs, detect failure modes, and assist in evaluation and testing frameworks. Support production deployment: Work alongside MLOps Engineers to deploy, monitor, and maintain ML/AI solutions in production environments. Apply engineering guidelines: Write clean, maintainable Python code, implement automated tests, participate in code reviews, and maintain technical documentation. Work with complex data: Retrieve, integrate, validate, and prepare datasets from multiple sources for model training, inference, and evaluation. Refine existing solutions: Examine technical problems, improve model performance, and support advancements in reliability and efficiency. Collaborate across teams: Work with Data Scientists, engineers, and product collaborators to understand requirements and deliver practical ML/AI solutions. Develop technical expertise: Continuously acquire new ML/AI technologies, share knowledge, and contribute to engineering discussions and team practices. What We're Looking For Education: BSc, MSc, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field, or equivalent experience in practice. Experience: 2+ years of professional experience in software engineering, machine learning engineering, or AI development, with practical experience developing ML models or AI-powered applications. Software engineering: Strong Python programming skills, including software build, testing, debugging, version control, and collaborative development practices. Machine learning: Hands-on experience developing, training, and evaluating supervised learning models using frameworks such as scikit-learn, PyTorch, TensorFlow, or similar. Generative AI: Experience building applications using LLMs, including timely query formulation, structured outputs, RAG, and tool calling. ML/AI evaluation: Understanding of model evaluation methodologies, performance metrics, and approaches to validating AI outputs. ML specialization: Practical experience in at least one area such as recommender systems, time-series modeling, unsupervised learning, or reinforcement learning. Data processing: Strong SQL skills and experience retrieving, transforming, and validating data from analytical databases and APIs. Production ML: Familiarity with model deployment, inference services, monitoring, and ML lifecycle management. Cloud & infrastructure: Working knowledge of cloud platforms (e.g., GCP, AWS, Azure), containers, CI/CD pipelines, and ML development environments. Nice to have Experience in mobile gaming, digital entertainment, or large-scale consumer applications. Experience developing recommendation or personalization systems. Familiarity with agentic workflows, AI agents, or advanced LLM applications. Experience with model serving, distributed computing, or performance optimization. Experience working with managed ML platforms such as Vertex AI. Familiarity with Bayesian modeling, causal inference, or simulation techniques. Important Information for Applicants CV Language: Please submit your CV in English. Hybrid Working Policy: This role follows a hybrid working model, requiring attendance at our Barcelona office 3 days per week. 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. 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. Aristocrat Leisure Limited (Aristocrat) is a global entertainment and content creation company powered by technology to deliver world-leading casino and mobile games. Listed on the Australian Securities Exchange (ASX), Aristocrat (ASX code: ALL) is headquartered in Sydney, Australia, with over 7300 employees working in more than 20 locations across the globe. Aristocrat offers a diverse range of products and services including electronic gaming machines, casino management systems, mobile games and online real money games, including iLottery. Aristocrat has seven corporate functions and three reporting segments that span regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness) and regulated online real money gaming (Aristocrat Interactive). Our game and product portfolios collectively entertain millions of players worldwide every day. Across our global enterprise, Aristocrat aims to create long-term sustainable value for all stakeholders by upholding our core values and producing the world’s best gaming content. Our people-first mindset prioritises the safety and wellbeing of our people. We have ambitions to be an industry leader in responsible gameplay and we invest in employees’ development and offer career pathways, so they have what they need to do their best work at Aristocrat. Our values of Talent Unleashed, All About the Player, Collective Brilliance and Good Business, Good Citizen guide and inspire us every day. We are excited about the future of Aristocrat and united by our mission and we invite everyone to join us as we bring joy to life through the power of play! Aristocrat Leisure Limited or its affiliates worldwide provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to any protected characteristic, such as race, color, sex, religion, national origin, physical or mental disability, genetic characteristic, pregnancy, breastfeeding or related medical condition, sexual orientation, gender identity, gender expression, ancestry, citizenship, age, marital, military and veteran status, or any other characteristic prohibited by local, state/provincial or federal law. If you need assistance or accommodation applying for a position, please reach out to [email protected]. At Aristocrat, sustainability is embedded in our strategy, operations and the values and culture of our teams across the globe. Our Sustainability report provides information on the progress we’ve made each year, across our four strategic sustainability pillars – Good Governance & Responsible Business, Empowering Safer Play (formerly responsible gameplay), Operational Sustainability & Climate, and People & Community. You can read more about our progress here: https://www.aristocrat.com/sustainability/

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