Job Description

Important:

The role is open to UK Nationals only, as per UK Government's requirements.

About Our Client

Join the forefront of AI innovation with our esteemed client, a pioneer in delivering advanced AI solutions to the UK Government and Defence industry. Specialising in cutting-edge Generative AI and Large Language Models (LLMs) for Retrieval-Augmented Generation (RAG) applications, we are dedicated to enhancing operational efficiencies and security through technological excellence. This is a unique chance to contribute to projects that blend national security with AI innovation, making a tangible impact on a national scale.

Role Overview

We seek a dynamic and driven Data Science Intern who is deeply passionate about shaping the future of Generative AI applications within critical sectors. This pivotal role is perfect for someone eager to tackle the challenges of AI hallucinations, enhance cybersecurity measures, and pioneer AI assurance and safety frameworks. Your work will push the boundaries of AI technology and safeguard national interests.

Key Responsibilities

Innovate and develop Generative AI-based RAG applications. Contribute to mitigating LLM hallucinations, ensuring AI assurance, and establishing robust AI safety protocols. Collaborate closely with our interdisciplinary team to align technology development with the comprehensive needs of AI assurance. Solve complex challenges to meet the nuanced demands of our end users, including Government agencies and Defence Intelligence communities.

Skills and Experience

Exposure to key concepts in developing LLM/Generative AI-based RAG applications. Proficiency in programming languages like Python and familiarity with leading open-source AI frameworks. Exceptional problem-solving skills, attention to detail, and a commitment to quality. Strong team player with the ability to articulate complex technical concepts clearly. Excellent written communication abilities.
Job Types: Full-time, Permanent, Graduate, Internship

Benefits:

Casual dress Company events Company pension Referral programme
Education:

Master's (preferred)
Work Location: Hybrid remote in Bristol

Application deadline: 01/12/2025