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Staff ML Engineer (LLMS, NLP) - Remote

Posted 4 days ago
Software Development
Full Time
United Kingdom

Overview

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.

In Short

  • 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

  • Experience in machine learning and natural language processing.
  • Strong software engineering skills and experience with LLMs.
  • Ability to collaborate effectively with cross-functional teams.
  • Proficiency in deploying scalable AI solutions.
  • Experience with cost optimization and observability in AI workflows.
  • Mentoring experience is a plus.

Benefits

  • Fully remote work environment.
  • Collaborative team culture.
  • Opportunity to work on impactful AI projects.
  • Professional development and mentoring opportunities.

Jobgether

Jobgether

Jobgether is a global platform dedicated to connecting job seekers with fully remote job opportunities. The company focuses on matching candidates to roles where they are most likely to succeed, providing valuable feedback on applications to enhance the job search experience. Jobgether aims to eliminate common frustrations in the job market, such as application black holes and recruiter ghosting, by offering a supportive and transparent approach to remote employment.

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