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

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

28 Dec, 25

Salary

0.0

Posted On

29 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, System Design, Python, Node.js, Vector Databases, Prompt Engineering, LLM API Integration, System Reliability, Observability Tools, Information Retrieval, Natural Language Processing, Applied Research, Cost Optimization, AI Workflows, Innovation, Scalability

Industry

Internet Marketplace Platforms

Description

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. Accountabilities In this role, you will be responsible for: 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. To succeed in this role, you should bring: 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. This role comes with a competitive and inclusive rewards package, including: 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. 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! #LI-CL1

Responsibilities

Design and deploy advanced LLM-powered applications supporting payroll products and operations. Lead system architecture, observability, and cost optimization for critical AI workflows.