ML/NLP Engineer, The University of Essex

MLNLP Engineer, The University of Essex

Company The University of Essex
Job title ML/NLP Engineer (KTP Associate)
Job location Remote
Type Full Time

Responsibilities:

  • Working with and find suitable approaches to processing large volumes of unstructured data
  • Seamlessly integrating NLP/AI functionality within an existing system
  • Handling very confidential processes and data, and implementing cyber security measures such as security by design
  • Working with developers and stakeholders on beta testing
  • Contributing to the writing of academic papers
  • To act as project lead, to progress the project and ensure milestones are met

Requirements & Skills:

  • BSc in Computer Science, Mathematics, or a related discipline
  • MSc in Computer Science, Data Science, Artificial Intelligence, NLP, or related area with industrial experience in NLP
  • Strong programming skills
  • Knowledge and expertise in Natural Language Processing (NLP)
  • Experience in Python and relevant NLP libraries
  • Experience with modern deep learning frameworks (e.g., PyTorch)
  • Experience in using Unsupervised Machine Learning Techniques for large-scale textual data
  • Strong mathematical foundation and expertise in Machine Learning principles
  • Experience in using Large Language Models in real-world use cases
  • Knowledge about Structured and Unstructured data
  • Knowledge of databases
  • An understanding of cyber security and GDPR
  • Knowledge about software security (security by design)
  • Knowledge about the implementation of basic privacy and authentication techniques in Python
  • Excellent written and spoken English
  • Project and budget management skills
  • Ability to write technical documentation/academic papers
  • Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
  • Excellent problem-solving skills
  • Being able to work in a fast-moving environment, listening to feedback and working collaboratively
  • Experience in directly dealing with clients and good relationship-building skills

apply for job button