Machine Learning Engineer

A leading organization in the sports betting and technology space is looking for a Machine Learning Engineer. The successful candidate will join a newly established US Data team to build the reliable, automated infrastructure that powers the machine learning lifecycle.What you\'ll be doingOwning the deployment of machine learning models to production by building scalable, low-latency prediction endpoints.Designing and maintaining CI/CD/CT pipelines for machine learning workflows using cloud-native tools.Setting up automated monitoring and alerting frameworks to track data drift, model drift, and system performance.Championing software engineering best practices including unit testing, containerization, and version control.Collaborating with data science and platform engineering leads to accelerate deployment cycles and remove operational bottlenecks.What we\'re looking forProven experience in deploying, monitoring, and scaling machine learning systems in a production environment.Strong Python programming skills with a solid grasp of software engineering patterns and API development.Extensive hands-on experience with Google Cloud Platform (GCP) and Vertex AI.Proficiency with containerization tools such as Docker and orchestration platforms like GKE.Experience utilizing Infrastructure as Code tools such as Terraform and familiarity with real-time streaming tools.What\'s on offerOpportunity to work in a newly established, high-impact technical team.Collaborative environment with a focus on software engineering excellence.Exposure to cutting-edge cloud technologies and MLOps frameworks.Hybrid working model providing flexibility and office-based collaboration.Professional development within a global technical excellence network.Apply via Hyra to be considered for this opportunity.