Staff Machine Learning Engineer

Staff Machine Learning EngineerAmsterdam, Netherlands (Hybrid)Artificial Intelligence | Machine Learning Platforms | AI SaaSFor one of our clients, a rapidly growing AI technology scale-up based in Amsterdam, we are looking for a Staff Machine Learning Engineer to lead the development and production deployment of machine learning solutions powering the company's next generation of AI products.As one of the most senior technical contributors in the engineering organisation, you'll help shape the ML strategy, mentor engineers, and drive architectural decisions across data, infrastructure, and product teams.This is an opportunity to combine deep technical expertise with technical leadership while remaining hands-on in one of Europe's fastest-growing AI environments.Technical Environment• Python• PyTorch or TensorFlow• MLflow• Kubernetes• AWS or GCP• Spark• Feature Stores• Vector DatabasesWhat You'll Be Working On• Designing and deploying production-scale machine learning systems• Leading the architecture of ML platforms and model deployment pipelines• Building scalable training, evaluation, and inference workflows• Collaborating with software engineers, data engineers, and product teams to integrate AI into customer-facing products• Improving model performance, reliability, and operational efficiency• Defining engineering standards and best practices for machine learning development• Mentoring and supporting other ML engineers across the organisationExperience Required• 7+ years of commercial software or machine learning engineering experience• Strong experience building and deploying production ML systems• Deep knowledge of Python and modern machine learning frameworks• Experience working with cloud-native infrastructure and MLOps practices• Strong understanding of scalable data pipelines and distributed computing• Proven ability to lead complex technical initiatives across multiple teamsNice to Have• Experience with Generative AI and Large Language Models• Retrieval-Augmented Generation (RAG) architectures• Real-time inference systems• Reinforcement learning or recommendation systems• Experience leading technical strategy within a scaling engineering organisation• Previous mentoring or Staff-level engineering experienceWhy Join?🚀 Join a high-growth AI scale-up at the forefront of machine learning innovation🚀 Influence technical strategy while remaining hands-on with cutting-edge technology🚀 Work alongside world-class engineers, researchers, and product leaders🚀 Modern AI infrastructure and cloud-native technology stack🚀 Opportunity to build products used by customers across Europe and beyond🚀 Clear scope for technical leadership and long-term career growth