Advanced Research Engineer Artificial Intelligence (AI)

Full Description

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 (LLMs).

• Strong programming skills in Python and familiarity with deep learning frameworks such as TensorFlow or PyTorch.

• In-depth knowledge of NLP techniques, including tokenization, 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.

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, honorary 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 on our job site directly.

Applications close 7th April 2025