Senior AI/ML Engineer 12 Month FTC at Worldpay
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

30 Oct, 25

Salary

0.0

Posted On

31 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Reliability, Design, Budgeting, Software, Project Planning, Client Training, Scalability, Business Requirements, Client Requirements, Debugging

Industry

Information Technology/IT

Description

Are you ready to write your next chapter?
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 Worldpayer? 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 Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one.
Are you ready to make your mark? Then you sound like a Worldpayer.

Responsibilities
  • Design, build, and deploy ML models, LLMs, and generative AI systems for real-world applications
  • Develop agentic AI workflows using orchestration frameworks such as LangChain, AutoGen, or similar
  • Fine-tune and optimize large-scale models for performance, scalability, and reliability
  • Analyze, design, program, debug, and enhance software used in commercial-grade applications
  • Translate business requirements into technical specifications and system designs
  • Write clean, maintainable code and perform rigorous testing and debugging
  • Participate in software design meetings and contribute to architectural decisions
  • Document development processes and support installation and maintenance procedures
  • Collaborate with internal teams (Product, Sales, Client Training) to ensure successful adoption of AI solutions
  • Lead or contribute to project planning, budgeting, and delivery
  • Present technical insights and solutions to both technical and business stakeholder
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