About the Position

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 are looking for an MLOps Engineer to join our MLOps team and build and own the platform that takes our machine learning and AI systems reliably to production.

Responsibilities

Deploy machine learning models as reliable, real-time APIs, with a strong focus on latency, throughput, caching, and scaling.
Design and own the serving and deployment infrastructure: containers, orchestration (Kubernetes), and serving frameworks (e.g., KServe, Triton, BentoML) where appropriate.
Build and maintain CI/CD pipelines for models, and orchestrate training and retraining workflows (e.g., Airflow).
Own the platform side of experiment tracking and model registry: versioning, lineage, promotion, and governance, so model releases are controlled and reproducible.
Build the monitoring and observability infrastructure that ML Engineers use to track model and system health (metrics, logging, tracing, alerting).
Ensure reproducibility across environments and pipelines, and harden systems for reliability (retries, timeouts, graceful degradation, rollback).
Partner with ML Engineers and Data Scientists to smooth the path from prototype to production, and with engineering on deeper system-design questions.

Requirements

4+ years in ML infrastructure, ML platform, or MLOps roles, ideally having worked inside a dedicated MLOps or platform team.
Strong software and systems engineering foundations, with a clear background in engineering or Computer Science.
Proven experience serving models as real-time, low-latency services, with a solid grasp of caching, concurrency, and application performance (p95/p99).
Hands-on experience with Docker, Kubernetes, CI/CD, and cloud platforms (e.g., GCP, AWS, Azure).
Experience with workflow orchestration (Airflow, Prefect, Kubeflow, or similar) and with experiment tracking / model registry tooling (MLflow, Weights & Biases).
Solid Python skills and comfort operating production services and their observability stack (e.g., Prometheus, Grafana).

Nice to Have

Experience with Snowflake or similar cloud data warehouses.
Experience supporting GenAI/LLM applications in production (serving, evaluation infrastructure, vector databases).
Exposure to designing AIOps-oriented infrastructure.
Interest in the ML/modeling side, enough to collaborate closely with ML Engineers (you do not need to be a researcher).

We Offer

Competitive salary range: €51,137 - €94,968 per year.
Hybrid role with 3 days at the office weekly.
Comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognize your contribution to our success.

About the Company

Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. With 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.

Travel Expectations

Minimal travel required (up to 5%).

MLOps Engineer

Job description