AI Engineer: Generative AI & LLMs, Prototype to Production

Global Payments Inc.

Greater London

On-site

GBP 90,000 - 140,000

Full time

14 days+
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Job summary

Global Payments Inc. is seeking an AI Engineer to join the AI Innovation & Technology team in the UK. You will explore AI capabilities, prototype ideas, and transform innovations into production-ready solutions with measurable business impact.

Role spans Generative AI, Agentic AI, ML, and LLMs, delivering high-value AI opportunities while maintaining security, governance, and scalability in cloud environments.

Qualifications

  • 5+ years in AI, ML, Data Science or related fields.
  • Strong Python and ML framework experience (PyTorch, TensorFlow, Hugging Face).
  • Experience taking AI proofs-of-concept from idea to production.
  • Deep learning, NLP, LLMs, fine-tuning and vector databases expertise.
  • Familiarity with agentic AI concepts and orchestration frameworks.
  • Experience deploying AI solutions on cloud platforms (Azure/AWS/GCP).
  • Excellent communication and collaboration skills.

Responsibilities

  • Assess, design, build, optimize and deploy ML/AI models and foundational models.
  • Research emerging AI technologies and run proof-of-concepts.
  • Collaborate with business and technology teams to identify high-value use cases.
  • Develop agentic AI workflows using LangChain or similar frameworks.
  • Ensure compliance, observability, and scalable AI deployments.

Skills

Python
PyTorch
TensorFlow
Hugging Face
LLMs
NLP
MLOps
LangChain
Vector databases
Embeddings
Azure AWS GCP

Education

Advanced degree in AI/CS

Tools

LangChain
Vector databases
RAG
Embeddings
Azure
AWS
GCP

Job description

Global Payments Inc. is seeking an AI Engineer to join the AI Innovation & Technology team in the UK. You will explore AI capabilities, prototype ideas, and transform innovations into production-ready solutions with measurable business impact.

Role spans Generative AI, Agentic AI, ML, and LLMs, delivering high-value AI opportunities while maintaining security, governance, and scalability in cloud environments.

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