Staff ML Engineer (LLMS, NLP) (Remote - EMEA)

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.

Requirements

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.

Benefits

This role offers:

• Competitive compensation, including stock grant opportunities based on role and location.
• Fully remote work with flexibility, including optional access to coworking spaces.
• Inclusive and diverse culture supporting global collaboration.
• Scalable benefits and perks tailored to your employment status and region.
• Professional growth opportunities and exposure to cutting-edge AI/ML technologies.
• Wellness initiatives and support for a healthy work-life balance.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!