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 Machine Learning Transformer Models Hugging Face LLMs

FULL DESCRIPTION

Summary

Designing and developing NLP models, applying transformer-based models, fine-tuning large language models, building pipelines, collaborating with other teams, and evaluating model performance. The role requires experience in NLP, computational linguistics, or applied machine learning, proficiency in Python and deep learning frameworks, and understanding of LLMs. A MSc or PhD is preferred.

  • 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

Key Responsibilities

  • 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

  • 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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