AI Research Intern – Knowledge Graphs (LLM, RAG, GraphRAG) – Staines-upon-Thames, UK | Visa + Salary Insights

📍 Location: gb

🏷 Type: Not specified

Job Intelligence

📍 More in this location:
Browse AI jobs in gb

🏷 Similar roles:

🌐 Explore all jobs:
View all AI job listings

Job Overview

This is a highly advanced AI Research Intern – Knowledge Graphs position at Samsung Research UK, focused on building next-generation LLM systems, RAG pipelines, and GraphRAG architectures. The role sits at the intersection of research and production engineering, where interns contribute directly to systems shipped into real Samsung products. Ideal candidates are PhD-level researchers or final-stage Masters graduates with strong publications and hands-on experience in applied machine learning. You will work on structured reasoning systems, knowledge graphs, and on-device AI optimization, translating cutting-edge research into scalable real-world AI infrastructure.

🌍 Work Eligibility & Location

This role is primarily Hybrid, requiring presence at Samsung R&D Institute in the UK. International applicants may be considered depending on research credentials, but visa support is not guaranteed. Strong alignment with UK-based collaboration hours is expected due to cross-functional engineering integration.

💰 Salary Intelligence

Although no official compensation is provided, Samsung Research internships of this caliber typically align with competitive European AI research stipends. Given the requirement for NeurIPS/ICML/ICLR-level publications, the effective market value is positioned in a high-end research bracket.

📊 Role Breakdown

This role is deeply technical and research-intensive, requiring expertise in Knowledge Graph construction, LLM fine-tuning, and GraphRAG pipelines. You will architect systems that merge structured knowledge with generative AI, enabling more accurate reasoning in constrained environments such as mobile devices. A key part of your work involves designing scalable RDF-based knowledge graphs and implementing semantic querying using SPARQL and graph databases like Neo4j. You will also build advanced RAG pipelines using LangChain and LlamaIndex, ensuring efficient retrieval-augmented reasoning across dynamic datasets. Around 30–40% of your work focuses on optimizing latency and memory trade-offs for on-device deployment, while another 30% centers on model fine-tuning using HuggingFace and PyTorch ecosystems. The remaining time is spent on experimentation, benchmarking, and publishing-grade research validation.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly selective research internship requiring elite-level academic and practical AI systems expertise. Candidates without strong publication records or production-level ML experience will struggle to compete.

🚀 Career Impact

This role offers exceptional long-term value, especially for candidates targeting careers in frontier AI research, LLM systems, or Big Tech AI labs. Experience here directly translates into top-tier research and engineering positions globally.

📋 Key Responsibilities

You will design and maintain knowledge graph infrastructures using RDF and graph databases while developing scalable GraphRAG and RAG pipelines for contextual reasoning. A major responsibility is fine-tuning and deploying large language models (LLMs) using HuggingFace and PyTorch frameworks. You will also build data pipelines for training and evaluation, ensuring high-quality dataset construction for both structured and unstructured data. In addition, you will conduct rigorous experimentation, optimize systems for latency, memory, and inference efficiency, and contribute production-ready code libraries. Collaboration with multidisciplinary teams is essential to integrate research into Samsung’s AI ecosystem and ensure deployment at scale.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.
How to use: Paste into ChatGPT, Claude, or Gemini

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

📅 Application Signals

This role signals extremely high urgency due to its advanced AI research scope and limited internship cycle. Competition is expected to be global and intense, especially from PhD candidates in top AI labs. Early application significantly improves visibility, particularly for candidates with strong publication records and Graph AI experience.

🔗 Apply for this Job

Apply on Company Site

✅ Job Source & Verification

This listing is sourced from the official Samsung Research UK careers portal, ensuring high credibility and direct employer verification. The posting was last updated within the current application cycle (2026 intake window), making it a reliable and actively recruiting opportunity for AI researchers.