AI Engineer: Prototyping to Production in ML & LLMs

Global Payments

England

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

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

The role involves evaluating AI technologies, conducting research and proofs of concept, and delivering high-value AI opportunities across Generative AI, Agentic AI, ML and LLMs, while collaborating with business and tech teams.

Qualifications

  • 5+ years of experience in AI, ML, or data science.
  • Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, and Hugging Face.
  • Experience taking AI proof-of-concepts from idea to production.
  • Strong knowledge of deep learning, NLP, and LLM architectures and experience in fine-tuning LLMs or training domain-specific models, RAG, embeddings, and vector databases.
  • Familiarity with agentic AI concepts and orchestration frameworks.
  • Experience deploying AI solutions on cloud platforms such as Azure, AWS, or GCP.
  • Strong problem-solving skills and a passion for innovation.
  • Excellent communication and collaboration skills.
  • A curious, hands-on mindset with a desire to experiment, learn, and build.
  • Experience with multimodal AI, AI governance, or MLOps.

Responsibilities

  • Assess, design, build, optimize and deploy ML/AI models, Foundational models for real-world applications.
  • Continuously research and evaluate emerging AI technologies, models, Prototype new AI capabilities, and run proof-of-concepts.

Skills

Python
PyTorch
TensorFlow
Hugging Face
LLMs

Education

Advanced degree in AI or related field

Job description

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

The role involves evaluating AI technologies, conducting research and proofs of concept, and delivering high-value AI opportunities across Generative AI, Agentic AI, ML and LLMs, while collaborating with business and tech teams.

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