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Advanced Research Engineer – Artificial Intelligence

National Composites Centre

Bristol

Hybrid

GBP 50,000 - 75,000

Full time

4 days ago
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Job summary

A leading research center is seeking an Advanced Research Engineer specializing in Artificial Intelligence. The successful candidate will design and optimize large-scale language models, collaborate on cutting-edge natural language processing solutions, and contribute to a diverse and innovative research environment. This exciting opportunity offers hybrid working and a commitment to employee wellbeing and professional development.

Benefits

Hybrid and flexible working
Annual salary reviews
Company paid private medical insurance
Up to 12.5% employer pension contribution
Focus on wellbeing and learning development

Qualifications

  • Proven experience in developing and deploying large language models.
  • Strong programming skills and familiarity with deep learning frameworks.
  • Excellent communication skills for conveying complex concepts.

Responsibilities

  • Optimize and fine-tune models for performance and efficiency.
  • Collaborate with teams to integrate models into applications.
  • Conduct research to stay updated with NLP advancements.

Skills

Python
Deep Learning
Natural Language Processing
Problem Solving

Education

Bachelor's or Master's degree in Computer Science
Ph.D. in a related field (preferred)

Tools

TensorFlow
PyTorch

Job description

Advanced Research Engineer – Artificial Intelligence

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Advanced Research Engineer – Artificial Intelligence

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About The Role

As a

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 the 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.

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:

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

What do we offer in return?

Hybrid and flexible working as standard, annual salary reviews, company paid private medical insurance, up to 12.5% employer pension contribution, great people, honor ary staff status at the University of Bristol. With a genuine focus on wellbeing, EDI and learning and development this is a chance to build your career in a thriving R&D facility with a bright future.

We see your future in ours. Apply now.

Closing date for applications 3rd June 2025

Notes/Brief for Recruitment Team:

About The Company

Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do. At the NCC we are committed to creating a diverse and inclusive environment and strongly encourage you to apply.

We ensure that all hiring decisions are made without regard to age, race, national origin, sex, disability, gender, gender identity, religion, or any other protected characteristics, and will treat all applications with the strictest confidence. We’re always open to hearing how we can support flexible working in different ways, including part-time work. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered. We wish you every success in your job search.

Why the NCC?

We see our success in yours. The future of composites manufacturing relies on the NCC, and we rely on the right individuals to make it happen, whether they’re engineers or not!

Diverse challenges – the NCC isn’t just about aerospace. We’re working with over 16 sectors and a variety of customers, from private ventures to the global tier 1 companies, providing variety to your experience.

Innovation – a world-leading research and development centre, the work we do brings novel and innovative solutions to industry, with the future firmly in mind. So we need innovating thinking not just in Engineering, but across all support functions.

Development in composites, and you – if the scope of exciting work isn’t enough to sway you, our ethos of continued learning and development and flexible working patterns will.

We look forward to hearing from you.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Research Services

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