ML Ops Engineer (EMEA Remote)

ML Ops Engineer (EMEA Remote) - Pragmatike | Built In ML Ops Engineer (EMEA Remote) Pragmatike ML Ops Engineer (EMEA Remote) Reposted 5 Days Ago Be an Early Applicant 20 Locations In-Office or Remote Mid level Information Technology • Software The Role The ML Ops Engineer will build and operate scalable ML inference platforms, focusing on model serving infrastructure and deployment pipelines for AI applications. Summary Generated by Built In Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS About the Role Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. Your Responsibilities - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Deve