UK | Full-time | On-siteAbout the RoleWe 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 RequirementsTechnical 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 ForWe’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.