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NLP Jobs - Vacancies

NLP Jobs - Vacancies

Vacancies in natural language processing.

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309
25.10.2026
309
25.10.2026
No ratings
309
25.10.2026
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Vacancies in natural language processing.

Подписчиков 2,319
Тематика Jobs and Freelance
Язык English
Ссылка t.me/nlp_jobs
Description

Place to place resumes and vacancies in NLP. Support for en, ru languages.

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NLP Jobs - Vacancies
NLP Jobs - Vacancies
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#candidate About me: William Briggs Senior / Lead NLP & LLM Engineer with 8+ years of experience in ML/NLP and a PhD background. I build production-grade GenAI systems end-to-end: conversational AI, RAG pipelines, document intelligence, and LLM-based automation, with a strong focus on product impact and scalability. LinkedIn: Ссылка скрыта Website: Ссылка скрыта 1) The job I’m looking for Positions: - Applied AI / GenAI Lead - Lead / Senior Machine Learning Engineer (NLP / LLM) - Senior Applied Scientist (NLP, LLMs) Domains / industries: - NLP / LLM-based products, conversational AI, RAG - AI platforms, SaaS products - Fintech, enterprise AI, regulated domains (optional) Job type: - Full-time (primary) - Long-term contract / freelance (secondary) Work format: - Remote preferred - Hybrid / onsite possible Locations considered: - UK - EU - Russia/Outside Russia 2) Who am I Background: - PhD in NLP - 8+ years of experience in Machine Learning and Natural Language Processing - Designed and deployed production AI systems used by 10k+ users, with long-term lifecycle (6+ months) - End-to-end ownership: from problem definition and architecture to deployment, scaling, and monitoring - Experience working in Agile product teams with cross-functional roles Relevant skills: - Python, PyTorch, Hugging Face, FastAPI - LLMs, RAG, LangChain / LangGraph, vector search - Conversational AI, multi-agent systems, prompt engineering - Evaluation, observability, and cost/performance optimization - Docker, Kubernetes, cloud platforms (AWS / GCP) Salary expectations: - Flexible, depending on role scope, responsibilities, and location Other preferences: - Product-focused roles with real business and user impact - Clear ownership, measurable KPIs, and strong engineering culture
NLP Jobs - Vacancies
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