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Natural Language Processing (NLP) Engineer - 3/4 Month Contract page is loaded
Natural Language Processing (NLP) Engineer - 3/4 Month ContractApply remote type Hybrid locations Communications House,, Staines-Upon-Thames, United Kingdom posted on Posted 2 Days Ago time left to apply End Date: October 22, 2025 (30+ days left to apply) job requisition id R107804
Position Summary
We have an exciting opportunity available for an NLP Engineer to join the AI Research Team here at Samsung.
Samsung R&D Institute UK (SRUK) conducts cutting-edge research in AI to develop state-of-the-art solutions for real-world problems. The AI Research Team focuses on machine learning, deep learning, and natural language processing (NLP). Successful candidates will work on innovative AI projects and contribute to the dissemination of research outputs through conferences and journals.
This is an outsourced contract role working on an hourly rate via one of our preferred recruitment agencies. The contract will run until 31st Dec 2025.
Role and Responsibilities
Conduct cutting-edge research to develop solutions for AI challenges.
Develop high-quality code and documentation for reproducible research.
Review state-of-the-art research papers and create prototype solutions.
Publish findings in top-tier AI conferences and journals
Skills and Qualifications
PhD in ML/AI, Computer Science/Engineering, or related fields.
Strong fundamentals in Mathematics, Machine Learning, NLP and Deep Learning.
Hands-on experience in one of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, F oundation Models, Large Language Models (LLMs), Data/Model Privacy or Prompting Methods.
First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI or similar)
Proficiency in programming languages like Python, Java, or C++.
Experience with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy).
Experience in Linux environments
Excellent communication, teamwork, and problem-solving
Location and Hybrid Working:
The role is based at Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.
Samsung operates a hybrid working policy of 3 days onsite and 2 days remote weekly for most roles.
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.
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Similar Jobs (1)Machine Learning Engineer - 3/4 Month Contractremote type Hybrid locations Communications House,, Staines-Upon-Thames, United Kingdom posted on Posted 2 Days Ago time left to apply End Date: October 22, 2025 (30+ days left to apply)About Us
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