Responsibilities
- Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions, from: development, to deployment and production monitoring.
- Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads, leveraging Infrastructure as Code (IaC), particularly using Terraform.
- Implement and maintain CI/CD pipelines, ensuring efficient model integration, deployment, and continuous delivery.
- Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance.
- Collaborate closely with data scientists and stakeholders to identify infrastructure needs, streamline workflows, and effectively communicate complex technical concepts.
- Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure.
Requirements
- 5+ years of experience in MLOps, DevOps, Data Engineering and/or cloud infrastructure roles, preferably supporting data science or Machine Learning teams.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Expert proficiency in cloud infrastructure management using Terraform.
- Deep hands-on experience with major cloud platforms (AWS, Azure or GCP).
- Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads.
- Proficiency with containerisation technologies (Docker, Kubernetes).
- Advanced proficiency in Python and scripting for infrastructure automation.
Nice to Have
- Experience within iGaming.
- Experience working with large volumes of data, preferably at petabyte-scale.
- Extensive experience with distributed computing and big data technologies (e.g. Spark, Hadoop).
- Familiarity with monitoring and observability platforms.
- Knowledge of data security, governance, and compliance practices relevant to ML operations.
Benefits
- Access to over 9,000 courses across our Learning and Development Platform.
- EAP access for you and your family.
- Be rewarded with lucrative annual bonuses.
- Give back with a paid volunteer day.
- Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house.
- Break up the week with on site remedial massage Wednesdays.
- In house full-time barista’s providing you your daily coffee needs.
- Weekly team lunches and happy hour in the office from 4pm on Fridays.
- Enjoy a bustling office with the option for up to 2 days work from home per week.
- Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles.
Work Arrangement
Hybrid
Team
Team size: 700+. Structure: Data Science Team
