MLOps Engineer

Machine Learning Ops EngineerAmsterdam, Netherlands. Up to €60k annually This is a high impact opportunity to build your career in MLOps within a production environment at scale. You will work closely with experienced engineers to develop and deploy machine learning systems that support real time decision making, while gaining hands on exposure to best practices in cloud, data, and model operations.The CompanyThey are a global technology business focused on powering seamless digital experiences through advanced data and payment infrastructure. Operating at significant scale, they support high volume, real time transactions across international markets. Their engineering teams are collaborative and delivery focused, with strong investment in data and machine learning capabilities. This is a fast growing area of the business with excellent scope for development.The RoleYou will contribute to the development and maintenance of machine learning infrastructure within a modern cloud environment.Support the build and deployment of machine learning models in productionAssist in developing systems for training, monitoring, and maintaining ML pipelinesContribute to feature store development across online and offline use casesWork alongside data scientists to productionise models and improve performanceHelp enhance monitoring and observability across ML systemsTake ownership of tasks and features with guidance from experienced engineersYour Skills and ExperienceStrong Python skills with the ability to write clean, production ready codeUnderstanding of machine learning concepts and exposure to ML models in practiceFamiliarity with MLOps principles and model lifecycle managementAwareness of monitoring and system reliability in production environmentsExposure to cloud platforms such as AWS or similarExperience with ML tools or frameworks such as scikit learn, TensorFlow, PyTorch or SparkStrong communication skills and a collaborative approach to problem solvingA growth mindset with curiosity and a willingness to learnWhat They OfferCompetitive salary and benefits packageHybrid working model with a collaborative office environment in AmsterdamStructured learning and development alongside experienced engineersClear progression within a growing data and machine learning functionOpportunity to work on large scale, real world ML systems with tangible impactHow to ApplyIf you are interested in this Machine Learning Ops Engineer role in Amsterdam, please apply with your CV for immediate consideration.