NLP Data Scientist — GenAI & Retrieval (Remote)

NLP Data Scientist — GenAI & Retrieval (Remote)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Chattermill

At a Glance

  • Tasks: Transform customer feedback into insights using advanced ML models and collaborate on innovative features.
  • Company: Chattermill, a forward-thinking company focused on diversity and inclusion.
  • Benefits: Equity options, remote work flexibility, and a commitment to your growth.
  • Other info: Enjoy a collaborative environment with opportunities for professional development.
  • Why this job: Join a dynamic team and make a real impact with cutting-edge NLP technology.
  • Qualifications: Strong knowledge of NLP and experience with PyTorch required.

The predicted salary is between 60000 - 80000 £ per year.

Chattermill is seeking a Machine Learning Engineer to work on transforming customer feedback into actionable insights using advanced ML models. You will train and iterate on models, contribute to the development of LLM-powered features, and evaluate model performance—all in a collaborative environment.

This role offers remote or hybrid options in the UK. Ideal candidates will have strong knowledge of NLP and experience with PyTorch. Benefits include equity options and a commitment to diversity and inclusion.

NLP Data Scientist — GenAI & Retrieval (Remote) employer: Chattermill

Chattermill is an exceptional employer that fosters a collaborative and inclusive work culture, allowing you to thrive as an NLP Data Scientist while working remotely or in a hybrid setting across the UK. With a strong commitment to employee growth, you will have opportunities to enhance your skills in advanced machine learning and contribute to innovative projects, all while enjoying benefits such as equity options and a focus on diversity.

Chattermill

Contact Details:

Chattermill Recruitment Team

We think you need these skills to ace NLP Data Scientist — GenAI & Retrieval (Remote)

Machine Learning
Natural Language Processing (NLP)
PyTorch
Model Training
Model Evaluation
Collaboration
LLM-powered Features Development