Principal Research Engineer at National Composites Centre
Bristol, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

03 Sep, 25

Salary

69198.0

Posted On

31 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Communication Skills, Publications, Python, Artificial Intelligence, Azure, Computer Science, Computing, Machine Learning, Aws, Data Processing, Google Cloud

Industry

Information Technology/IT

Description

QUALIFICATIONS:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Proven experience in developing and deploying large language models.
  • Strong programming skills in Python and familiarity with deep learning frameworks such as TensorFlow or PyTorch.
  • In-depth knowledge of NLP techniques, including tokenisation, embeddings, transformers, and attention mechanisms.
  • Experience with large-scale data processing and distributed computing.
  • Strong problem-solving skills and the ability to work independently and as part of a team.
  • Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
    The position requires successful completion of MoD Security Clearance.

PREFERRED QUALIFICATIONS:

  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Contributions to open-source NLP projects or publications in top-tier conferences/journals.
Responsibilities

ABOUT THE ROLE

As a Large Language Model Developer, you will be responsible for designing, developing, and optimising large-scale language models (LLM). You will have a variety of stakeholders, in the enterprise and engineering teams at NCC. You will work closely with our research and engineering teams to create state-of-the-art natural language processing (NLP) solutions that drive our products and services.

KEY RESPONSIBILITIES:

  • Optimise and fine-tune models for performance, accuracy, and efficiency.
  • Collaborate with cross-functional teams to integrate language models into various applications.
  • Conduct research to stay updated with the latest advancements in NLP and machine learning.
  • Implement and maintain scalable and robust NLP pipelines.
  • Develop multi-agent, multi-modal systems interpreting images, video, robotic motion, and sensor outputs.
  • Analyse and interpret model performance, providing insights and recommendations for improvements.
  • Document model development processes and results.
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