UK | Full-time | On-site

About the Role
We are seeking a Large Scale Graph AI Researcher to join a leading global technology and innovation company. This position offers the opportunity to work on cutting-edge Graph Neural Network (GNN) techniques and apply them to large-scale datasets across diverse domains, such as healthcare, manufacturing, and finance.

As a Researcher, you will contribute to state-of-the-art advancements in AI, work with complex datasets, and collaborate with a multidisciplinary team of experts. This role is ideal for someone with a strong academic and technical background who thrives on solving large-scale, real-world challenges.

Location: United Kingdom (Office-based, Relocation Assistance Provided)


Key Responsibilities

• Develop innovative Graph Neural Network techniques for large-scale data analysis in areas like healthcare, manufacturing, or finance.
• Implement proof-of-concept solutions and demonstrations to showcase innovation to stakeholders.
• Acquire domain-specific knowledge to effectively communicate with field experts and design AI methods tailored to specific applications.
• Publish research findings in top academic conferences and journals.
• Contribute to intellectual property (IP) generation by innovating new methodologies and solutions.

Key Requirements
Technical Expertise:

• Experience with deep learning frameworks, especially PyTorch for graph-based AI.
• High proficiency in programming, particularly Python.
• Experience using high-performance computing (HPC) to accelerate graph algorithms.

Academic Background:

• A Ph.D. in a relevant field (e.g., Computer Science, Mathematics, or related disciplines).
• Proven track record of publishing research in academic journals or conferences.

Skills & Competencies:

• Expertise in designing and implementing Graph AI models at scale.
• Strong understanding of graph structures, graph algorithms, and Graph Neural Networks.
• Excellent written and verbal communication skills.

Preferred Skills (Desirable):

• Familiarity with multi-modal or explainable machine learning techniques.
• Experience working with knowledge graphs and graph databases.

What’s Offered

• A highly competitive compensation package.
• Visa support and relocation assistance for candidates moving to the United Kingdom.
• Opportunities to work on large-scale, high-impact projects.
• A collaborative environment with world-class researchers and industry experts.
• Access to cutting-edge tools and high-performance computing resources.
• Professional development opportunities, including publishing and attending global conferences.

Who We’re Looking For
We’re seeking a passionate and innovative individual with expertise in Graph Neural Networks and a proven ability to solve large-scale problems. Whether your experience comes from social media, material science, or other domains, what matters is your ability to work on large-scale graph models and drive innovation through research.