Natural Language Processing Engineer

Cardiff FULL TIME £45,000 - £65,000 / Year
(£3,750 - £5,416 / Month)

Job Description

As a Natural Language Processing Engineer, you will develop cutting-edge NLP models that enhance communication between machines and humans. Your expertise will help build intelligent systems that can process and understand language, creating innovative solutions for real-world applications.

Responsibilities

  • Research and develop new algorithms for language understanding.
  • Integrate NLP models into existing products and platforms.
  • Collaborate on cross-functional projects that leverage machine learning.
  • Create prototypes for new features and enhancements.
  • Engage with clients to gather insights and requirements for projects.
  • Ensure the robustness of models through rigorous testing and validation.
  • Participate in technical meetings and contribute to strategic planning.

Requirements

Education
  • Bachelor's degree in Computer Science or similar discipline
  • Master's degree in Data Science or related field is a plus
Experience
  • 3+ years of relevant experience in NLP and machine learning
Technical Skills
  • Java
  • Cloud Technologies
Soft Skills
  • Problem-Solving
  • Adaptability
Certifications
  • Certified Data Scientist (CDS)
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with Hugging Face Transformers: Proficient in utilizing Hugging Face libraries for NLP tasks.
  • Experience with Multi-Task Learning: Ability to implement techniques for multi-task learning in NLP.

Benefits

  • Robust health and dental coverage
  • Retirement savings plan with employer matching
  • Remote work options available
  • Access to educational resources and training programs

Company Culture

  • Continuous Learning: We support ongoing education and encourage our team to pursue their professional growth.
  • Work-Life Balance: We prioritize a healthy work-life balance for our employees, promoting flexibility in how and where we work.
Status: Closed