Senior AI​/ML Engineer

Senior AI/ML Engineer at Worldpay

Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day.

What makes a World payer? It’s simple:
Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic; every World payer is empowered to make the right decisions for our customers. And we’re determined, always staying open – winning and failing as one.

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.

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

• 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.

• Competitive salary and benefits.
• Time to support charities and give back to your community.
• Parental leave policy.
• Global recognition platform.
• Virgin Pulse access.
• Global employee…