Artificial Intelligence Researcher

FD Intelligence; Glasgow; On-site; GBP 28,000 - 42,000; Full time

Benefits offered by this job

Competitive salary package

Career development path

Job summary

FD Intelligence (FDI) is seeking an AI Graduate Scientist to design, develop, and deploy cutting-edge AI solutions in our Glasgow office. You’ll work with a multidisciplinary team on NLP, computer vision, and ML to solve real-world problems, with a strong emphasis on business impact and scalable deployment on Azure.

The role is ideal for someone with a strong mathematical background and a passion for AI research, offering collaborative growth and a clear path into senior research or engineering

Qualifications

• Strong mathematical background in algebra, number theory, and statistics.
• Proficiency in Python and major AI/ML frameworks (PyTorch, TensorFlow).
• Understanding of NLP, computer vision, and information retrieval techniques.
• Experience deploying AI applications in enterprise environments.

Responsibilities

• Research & Development: investigate and implement advanced AI/ML algorithms for document intelligence.
• Product Innovation: contribute to flagship document intelligence platform using NLP and computer vision to extract, classify, and structure data.
• Retrieval-Augmented Generation (RAG): architect and implement intelligent retrieval systems (GraphRAG, ScaNN).
• Full-Stack AI Deployment: build, test, and deploy AI-powered bots and web apps on Microsoft Azure.
• Enterprise AI Integration: develop MCP systems to integrate models with enterprise data sources.
• Explainable AI: research and apply model interpretability techniques for reliability.
• Continuous Learning: stay updated with state-of-the-art AI research.

Skills

Python

PyTorch

TensorFlow

NLP

Computer Vision

Information Retrieval

Azure Cloud

Vector search

RAG pipelines

Explainable AI

Education

Mathematics or Computer Science or AI degree

Tools

Azure

GraphRAG

ScaNN

Job description

Job Title: AI Data Scientist (can be graduate level)

Location: Glasgow

Department: Artificial Intelligence & Data Science

Reports to: Lead AI Scientist

FD Intelligence (FDI) is at the forefront of AI-driven automation, delivering advanced solutions that transform how accountancy, finance, and professional services firms operate. Our mission is to blend mathematical rigour with practical AI innovation, enabling businesses to work smarter, faster, and with greater accuracy.

Role Overview

As an AI Graduate Scientist at FD Intelligence, you will design, develop, and deploy cutting-edge AI solutions that push the boundaries of automation and document intelligence. You’ll work alongside a multidisciplinary team of mathematicians, engineers, and domain experts, applying state-of-the-art techniques in natural language processing (NLP), computer vision, and machine learning to solve complex, real-world problems.

This role is ideal for someone with a strong mathematical background, a passion for AI research, and a drive to deliver tangible business impact through innovative technology.

Key Responsibilities

• Research & Development: Investigate and implement advanced AI/ML algorithms, focusing on document intelligence, information retrieval, and data processing automation.
• Product Innovation: Contribute to the development of FDI’s flagship document intelligence platform, leveraging NLP and computer vision to extract, classify, and structure data from complex, unstructured forms.
• Retrieval-Augmented Generation (RAG): Architect and implement intelligent retrieval systems, exploring advanced techniques such as GraphRAG and Google ScaNN for improved precision and contextual relevance.
• Full-Stack AI Deployment: Build, test, and deploy AI-powered bots and web applications on Microsoft Azure, ensuring scalability, security, and performance.
• Enterprise AI Integration: Develop Model Context Protocol (MCP) systems to seamlessly integrate AI models with enterprise data sources, enabling domain-specific AI interactions.
• Explainable AI: Research and apply model interpretability techniques to make complex AI systems transparent, reliable, and business‑ready.
• Continuous Learning: Stay abreast of cutting‑edge AI research, regularly evaluating and implementing promising new methods.

Skills & Qualifications

• First‑class degree (or equivalent) in Mathematics, Computer Science, Artificial Intelligence, or related discipline.
• Strong mathematical foundation, particularly in algebra, number theory, and statistics.
• Proficiency in Python and experience with major AI/ML frameworks (e.g., PyTorch, TensorFlow).
• Understanding of NLP, computer vision, and information retrieval techniques.
• Ability to translate theoretical models into practical, deployable solutions.
• Experience with cloud platforms, preferably Microsoft Azure.
• Knowledge of vector search, RAG pipelines, and document chunking strategies.
• Familiarity with anisotropic vector quantisation or advanced similarity search techniques.
• Experience deploying AI applications in enterprise environments.
• Interest in explainable AI and model interpretability.

What We Offer

• Opportunity to work on transformative AI projects with real‑world impact.
• Collaborative, research‑driven culture that values both innovation and rigour.
• Exposure to cutting‑edge tools, techniques, and publications in AI/ML.
• Competitive salary and benefits package.
• Clear career development path into senior research or engineering roles.