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# Senior AI/ML Engineer

- **Company:** WorldPay
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Software Applications, Microsoft Azure, Programming Tools, Python (Programming Language), Software Architecture, Tensorflow, Software Engineering, Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Backend, Performance Monitor, Machine Learning Operations, Virtual Agents, Automation Anywhere, Programming Languages
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840589917-senior-aiml-engineer

## About the Role

You will have experience in AI/ML development required and demonstrated proficiency in AI/ML programming languages and frameworks (e.g., Python, TensorFlow, PyTorch). Familiarity with developing and maintaining applications within cloud environments (AWS, Azure, GCP).

## Description

The Senior AI Engineer - AI Integration and Full stack - at Worldpay acts as the critical link between AI and real-world implementation.

As an AI/ML Engineer in the AI and Innovation Team within the Office of the Chief Technology Officer (OCTO), you will play a pivotal role in advancing the company's generative AI capabilities. This position involves contributing to the development of a sandbox environment for experimentation, building and programming AI solutions using large language models (LLMs), and actively participating in the creation of impactful use cases. The AI/ML Engineer will work under the guidance of the Senior Director, collaborating with cross-functional teams to integrate AI solutions across the organization.

This role combines backend development, platform engineering, AI integration and MLOps to deliver robust, end-to-end pipelines that integrate AI models and agentic workflows into scalable, production-grade fintech solutions.

You will develop core versions of software applications, identify requirements and technical specifications through Product Management and/or representatives. Interacts with engineering groups to assist in design changes to equipment and/or software., * AI/ML Product Development: Lead the full lifecycle of AI/ML products-from architecture and model training to deployment and maintenance. Build scalable systems, manage registries and feature stores, and operationalize models using containerization and IaC practices.

 * AI Systems & Orchestration: Design and manage APIs and backend systems for AI workflows. Integrate models and intelligent agents with enterprise tools, enforce security and compliance, and monitor performance using observability frameworks.
 * Software Engineering & Architecture: Develop and optimize AI-driven applications. Contribute to architectural decisions, write technical specifications, and automate workflows with CI/CD pipelines and modern development tools.
 * Evaluation & Responsible AI: Apply frameworks for robustness, fairness, and explainability. Ensure systems meet enterprise standards for security, reliability, and ethical compliance.
 * Collaboration & Enablement: Work closely with ML engineers, architects, and product teams to accelerate experimentation and adoption. Prepare documentation, deliver technical briefings, and support internal enablement.
 * Project Leadership: Contribute to planning, scheduling, and budgeting for AI initiatives, ensuring timely and successful delivery.


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