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LLM - Natural Language Processing Engineer

Job in Abu Dhabi, UAE/Dubai
Listing for: UMATR
Full Time position
Listed on 2026-06-06
Job specializations:
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

Language Scientist / LLM Engineer - Relocation to Abu Dhabi - Tax Free

We are collaborating with an exciting partner of ours as they look to bolster their teams here in the UAE - Abu Dhabi! Are you an LLM Engineer, eager to relocate to Abu Dhabi, and join an emerging Fintech as they continue to have a powerful impact on the industry?

This is a Senior role, ideal for candidates with 5+ years of experience.

What You'll Work With:
  • BERT
  • GRT
  • RAG
  • Transformers
  • NLP
  • Tensorflow
  • Py Torch

We are looking to speak to Language Scientists / LLM Engineers specializing in financial applications to bolster our client's team. You should possess an understanding of LLM architectures, adeptness in mathematics and statistics, and hands‑on experience in fine‑tuning pre‑trained models for finance-specific NLP tasks. The ideal candidate will bring a strong foundation in software engineering, integral for developing and enhancing LLM‑based algorithms and applications tailored for finance.

Responsibilities:
  • Lead the exploration, design, and implementation of LLM architectures customized for NLP tasks in finance
  • Conduct analysis and experimentation to enhance trained Large Language Models (LLMs), such as BERT, GPT, and Transformer‑based models, for comprehension and generation of financial language
  • Collaborate closely with cross‑functional teams comprising finance experts, software developers, data analysts, and product managers to integrate LLM solutions into finance‑specific software systems
  • Evaluate the efficiency of LLM‑based algorithms through testing methodologies utilizing financial datasets
  • Apply statistical acumen to analyze financial data, identify patterns, and devise innovative strategies to embed quantitative insights into NLP solutions
  • Contribute to the development of tools, libraries, and frameworks optimized for LLM engineering and research within the finance sector
Requirements:
  • 5+ years working in Language Scientist / LLM Engineering positions
  • Hold a master’s or Ph.D. in Computer Science, Computational Linguistics, or a related field
    , focusing on Large Language Model (LLM) engineering
  • Strong understanding and background in finance and mathematics/statistics
  • Proficient in LLM structures like attention mechanisms and self‑attention transformer‑based models, specifically in finance‑related NLP tasks
  • Experience with refining existing language models for finance‑centric natural language processing tasks using frameworks such as Tensor Flow, PyTorch, or Hugging Face Transformers
  • Strong grasp of statistical principles to analyze data and model financial occurrences
  • Knowledge of programming languages such as Python, Java, or C++
  • Exceptional problem‑solving skills with a focus on innovation and optimization of language model‑based algorithms for finance applications
  • Familiarity with finance principles, markets, and datasets is advantageous
What’s On Offer?
  • Tax‑Free Income
  • Relocation support for you and your family (including VISA support)
  • Medical insurance for you and your family
  • Equity
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