AI Engineer (Natural Language Processing)

🔒 Confidential Employer
Posted 13 August 2025
LOCATION
United Kingdom (Remote)
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£70,000 / year
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python SQL NLP Machine Learning BERT Communication

FULL DESCRIPTION

Summary

AI Engineer (Natural Language Processing) responsibilities include analyzing text-based datasets, developing and deploying NLP models, and collaborating with engineering teams. Requirements include experience with Python, SQL, and NLP libraries, knowledge of machine learning techniques, and excellent communication skills.

Key Responsibilities/Duties

  • Analyze text-based datasets to uncover meaningful insights.
  • Develop and deploy NLP models for applications like chatbots and sentiment analysis.
  • Utilize AI tools to enhance language-based data processing.
  • Collaborate with engineering teams to integrate NLP solutions into products.
  • Communicate AI-driven recommendations to stakeholders effectively.

Core Requirements/Qualifications/Skills

  • Strong experience in Python, SQL, and NLP libraries (NLTK, SpaCy).
  • Solid understanding of machine learning techniques and transformer models (e.g., BERT).
  • Knowledge of big data tools like Hadoop or Spark is a plus.
  • Excellent communication and teamwork skills.
  • Bachelor’s or Master’s in Data Science, AI, or related field.

Responsibilities:

Analyze text-based datasets to uncover meaningful insights. Develop and deploy NLP models for applications like chatbots and sentiment analysis. Utilize AI tools to enhance language-based data processing. Collaborate with engineering teams to integrate NLP solutions into products. Communicate AI-driven recommendations to stakeholders effectively.

Requirements:

Strong experience in Python, SQL, and NLP libraries (NLTK, SpaCy). Solid understanding of machine learning techniques and transformer models (e.g., BERT). Knowledge of big data tools like Hadoop or Spark is a plus. Excellent communication and teamwork skills. Bachelor’s or Master’s in Data Science, AI, or related field.

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