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Staff ML Engineer (LLMS, NLP) (Remote – EMEA)
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Staff ML Engineer (LLMS, NLP) (Remote – EMEA)
Job summary
A technology staffing platform seeks an experienced Staff ML Engineer in the UK to design and deploy advanced AI applications impacting global payroll operations. The role emphasizes strong system design and Python expertise, with a focus on LLM applications. Benefits include stock options and flexible remote work arrangements.
Benefits
Qualifications
- 12+ years of engineering experience with strong system design expertise.
- Minimum 1.5 years building production-grade LLM applications.
- At least 2+ years of applied research experience in information retrieval, NLP, and ML.
Responsibilities
- Designing and deploying advanced LLM-powered applications.
- Leading system architecture, observability, and cost optimization.
- Collaborating with ML researchers, product managers, and engineering teams.
Skills
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.
As a Staff ML Engineer, you will play a pivotal role in shaping large-scale AI-powered applications that directly impact global payroll operations. This role combines advanced machine learning expertise with strong system design skills to deliver robust, scalable, and innovative solutions. You’ll collaborate with product managers, researchers, and engineers in a highly distributed team environment, driving high-impact projects at the forefront of applied AI. This is an opportunity to design, optimize, and deploy mission‑critical systems that push the boundaries of LLM and NLP capabilities while ensuring cost efficiency and reliability.
- Designing and deploying advanced LLM‑powered applications supporting payroll products and operations.
- Leading system architecture, observability, and cost optimization for critical AI workflows.
- Collaborating closely with ML researchers, product managers, and engineering teams.
- Driving innovation by applying groundbreaking LLM and NLP methods in high‑scale environments.
- Ensuring performance, scalability, and reliability of AI‑driven solutions.
- 12+ years of engineering experience with strong system design expertise.
- Minimum 1.5 years building production‑grade LLM applications.
- Strong Python expertise for AI/ML development and familiarity with Node.js.
- Deep knowledge of vector databases such as Pinecone or Weaviate.
- Hands‑on experience in prompt engineering, LLM API integration, and system reliability.
- Proficiency with observability tools for AI systems.
- At least 2+ years of applied research experience in information retrieval, NLP, and ML.
- Bonus points for experience with RAG, LangChain/CrewAI, agentic workflows, multimodal systems, or pre‑LLM ML/deep learning expertise.
- Stock grant opportunities, depending on role, employment status, and location.
- Additional country‑specific perks and benefits.
- Full flexibility of remote work, with optional access to WeWork spaces.
- Scalable rewards and benefits that reflect inclusivity and access for all employees.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.