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Staff ML Engineer (LLMS, NLP) (Remote - EMEA) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff ML Engineer (LLMS, NLP) in EMEA.. This role offers the opportunity to design, deploy, and scale advanced LLM-powered applications that support mission-critical business operations. You will work closely with ML researchers, product managers, and application engineers to architect high-performance AI workflows, optimize cost and observability, and drive impactful solutions at scale. The position is fully remote across EMEA, providing a collaborative environment where your work directly influences the efficiency and innovation of large-scale AI systems. You will contribute to production-grade LLM applications, implement state-of-the-art NLP and information retrieval techniques, and mentor peers on best practices, ensuring both technical excellence and measurable business impact.. . Accountabilities. As a Staff ML Engineer (LLMS, NLP), you will be responsible for:. . Designing and deploying LLM-powered solutions to enhance AI-driven products and operations.. . Leading architecture decisions, cost optimization, and observability for AI workflows.. . Collaborating with ML researchers, product managers, and application engineers to implement high-scale systems.. . Applying research algorithms into production systems for NLP, information retrieval, and machine learning applications.. . Ensuring system reliability, maintainability, and performance in production environments.. . Mentoring peers and guiding best practices for AI/ML system design and development.. . Evaluating and integrating vector databases, LLM APIs, and agentic workflows where applicable.. . The ideal candidate will bring:. . 12+ years of engineering experience with strong system design expertise.. . At least 1.5 years building production-grade LLM applications.. . Advanced Python skills for AI/ML development and familiarity with Node.js for integration tasks.. . Hands-on experience (2+ years) implementing NLP, LLMs, and ML algorithms for information retrieval and text processing.. . Experience with vector databases (Pinecone, Weaviate, or similar) and prompt engineering.. . Knowledge of observability tooling for AI systems and system reliability patterns.. . Strong collaboration, communication, and mentorship skills in cross-functional teams.. . Bonus / Preferred:. . Experience with RAG implementations, agentic workflows, or frameworks such as LangChain/CrewAI.. . Exposure to multimodal AI systems and pre-LLM deep learning projects.. . Expertise in cost tracking and optimization for AI/LLM infrastructure.. . Company Location: United Kingdom.