NLP Specialist

🔒 Confidential Employer
Posted 13 August 2025
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

NLP Python Deep Learning Transformer Models Hugging Face LLMs Text Classification Sentiment Analysis

FULL DESCRIPTION

Summary

[Employer hidden — view at passion-project.co.uk] is seeking an NLP Specialist to design and develop NLP models, apply transformer-based models, fine-tune large language models, build pipelines for text data, collaborate with teams, and evaluate model performance.

Key Responsibilities/Duties:

  • Designing and developing NLP models for tasks like text classification, sentiment analysis, entity recognition, and summarization
  • Applying transformer-based models (e.g., BERT, GPT, RoBERTa) to real-world applications
  • Fine-tuning large language models (LLMs) for domain-specific use cases
  • Building pipelines to preprocess and clean large volumes of unstructured text data
  • Collaborating with data scientists, product managers, and engineers to deliver end-to-end NLP solutions
  • Evaluating model performance and optimizing for accuracy, speed, and scalability

Core Requirements/Qualifications/Skills:

  • Strong experience in NLP, computational linguistics, or applied machine learning
  • Hands-on knowledge of Hugging Face, spaCy, NLTK, or similar libraries
  • Proficiency in Python and experience with deep learning frameworks like PyTorch or TensorFlow
  • Understanding of LLMs, attention mechanisms, and transformer architectures
  • Ability to translate business problems into NLP-driven solutions
  • MSc or PhD in Computer Science, Linguistics, AI, or related field preferred

What You’ll Be Working On:

  • Designing and developing NLP models for tasks like text classification, sentiment analysis, entity recognition, and summarization
  • Applying transformer-based models (e.g., BERT, GPT, RoBERTa) to real-world applications
  • Fine-tuning large language models (LLMs) for domain-specific use cases
  • Building pipelines to preprocess and clean large volumes of unstructured text data
  • Collaborating with data scientists, product managers, and engineers to deliver end-to-end NLP solutions
  • Evaluating model performance and optimizing for accuracy, speed, and scalability

What We’re Looking For:

  • Strong experience in NLP, computational linguistics, or applied machine learning
  • Hands-on knowledge of Hugging Face, spaCy, NLTK, or similar libraries
  • Proficiency in Python and experience with deep learning frameworks like PyTorch or TensorFlow
  • Understanding of LLMs, attention mechanisms, and transformer architectures
  • Ability to translate business problems into NLP-driven solutions
  • MSc or PhD in Computer Science, Linguistics, AI, or related field preferred
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