MLOps Engineer (I / II / III / Senior) – Remote | Building a New Team in Portugal Location:Remote (Portugal-based team) Reports to:Line Manager, Data & BI Department:Data & BI – Data Science Type:Full TimeAbout the Opportunity We're building a brand‐newMachine Learning Operations team in Portugal, supporting a global organisation that powers real‐time data products used by millions of users every day. The work we do drives large‐scale decisioning, automation, personalisation, and analytics across a fast‐paced digital environment.You'll join a high‐impact Data Science function that is scaling rapidly—designing and managing production ML systems that operate at serious volume and velocity. If you enjoy solving complex engineering challenges, automating everything, and operating machine learning at scale, this is your chance to influence architecture, best practices, and long‐term strategy from day one. If you're ambitious, curious, delivery‐focused, and want to help build something new—this team is for you.The Role: MLOps Engineer We're hiring across all levels— I, II, III, and Senior. You will design, deploy, scale, and maintain production‐grade ML systems, working closely with Data Scientists, Data Engineers, and Software Engineers. You'll take ownership of the entire MLOps lifecycle—from data to deployment to monitoring—and help define how ML is delivered across the organisation.Even if you don't meet every requirement, we want to hear from you. What matters most is your ability to learn fast and deliver meaningful impact.What You'll Do Build and operatescalable inference and serving systemsfor high‐traffic ML workloads. Design, automate, and maintaindata, training, and inference pipelines. Own and evolveCI/CD pipelinesfor testing, validation, and deployment. Monitor and maintainproduction ML APIs, ensuring reliability, performance, and security. Developinternal tooling and platformsfor streamlined ML deployment and configuration. Build observability:dashboards, monitoring, and alertsfor models and infrastructure. Implementunit and integration testsacross ML code and pipeline components. Apply strongsecurity practicesfor containerised and cloud‐based deployments.What You Bring Bachelor's/Master's in Engineering, Computer Science, or similar. StrongPythonengineering fundamentals. Cloud architecture experience (Azure preferred, others welcome). Experience withversion control, dependency management, and packaging. Strong understanding ofDockerand containerised environments. Experience withlogging, monitoring, and alertingsystems. Solid understanding ofML concepts, pipelines, and deployment patterns. Proven experience runningML models in production. Knowledge ofdata models, ETL processes, SQL/NoSQL systems .What You Get Competitive salary aligned with your level and impact Opportunity to helpbuild a new ML engineering hub in Portugal Work oncutting‐edge ML infrastructureat global scale Support for professional growth & certifications Opportunities to contribute to open‐source projects Remote‐friendly environment & flexible working hours A chance to shape architecture, standards, and best practices from the ground upReady to Build Something New? If you want to be part of a high‐growth, high‐impact team shaping the future of machine learning systems—and you're excited by large‐scale challenges—this is your opportunity.Apply now and help us build a world‐class MLOps capability in Portugal.