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For Companies At a Glance
- Tasks: Lead AI/ML product development and integrate innovative solutions into fintech.
- Company: Join Worldpay, a leader in global payments and technology.
- Benefits: Enjoy competitive salary, parental leave, and community support initiatives.
- Why this job: Make a real impact by advancing generative AI capabilities in a dynamic environment.
- Qualifications: Experience in AI/ML development with proficiency in Python and cloud platforms.
- Other info: Collaborate with experts and drive innovation in a supportive global community.
The predicted salary is between 43200 - 72000 £ per year.
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 our customers. And we’re determined, always staying open – winning and failing as one.
What You’ll Own
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, TensorFlow, PyTorch). Familiarity with developing and maintaining applications within cloud environments (AWS, Azure, GCP).
How You’ll Own It
- 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.
Worldpay Perks - What We’ll Bring For You
- 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 assistance program.
What Makes a Worldpayer
- Curious. Humble. Creative. We ask the right questions, listen and learn to get better every day. We simplify the complex and we’re always looking to create a bigger impact for our colleagues and customers.
- Empowered. Accountable. Dynamic. We stay agile, using our initiative, taking calculated risks to progress. Never standing still, never settling, we work at pace to achieve our goals. We champion our ideas and stay flexible to make them happen. We know that every action adds up.
- Determined. Inclusive. Open. Unlocking potential means working as one global community. Our work spans borders, and we stay united by our purpose. We collaborate, always encouraging others to perform at their best, welcoming new perspectives.
Does this sound like you? Apply now to write the next chapter in your career. We can’t wait to hear from you. To find out more about working with us, find us on LinkedIn.
Senior AI/ML Engineer employer: Worldpay
Contact Detail:
Worldpay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by practising common questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Senior AI/ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI/ML Engineer role. Highlight your experience with AI/ML programming languages and frameworks, and don’t forget to showcase any relevant projects that demonstrate your skills in building scalable systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background aligns with Worldpay’s mission. Be sure to mention specific experiences that relate to the job description.
Showcase Your Curiosity: Worldpay values curiosity, so don’t hesitate to share examples of how you’ve asked the right questions or sought creative solutions in your previous roles. This will show us that you’re a dynamic thinker who fits our culture.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Worldpay
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML frameworks like Python, TensorFlow, and PyTorch. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios. This will show that you're not just familiar with the theory but can also implement it effectively.
✨Understand Worldpay's Mission
Dive into Worldpay's values and mission. Familiarise yourself with their approach to payments and how they aim to simplify complex processes. Being able to align your answers with their core principles of curiosity, empowerment, and determination will demonstrate that you're a good cultural fit.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of AI integration and MLOps. Practice coding challenges or system design questions related to AI workflows. This will help you feel more confident and articulate during the interview.
✨Show Your Collaborative Spirit
Worldpay values teamwork and collaboration. Be prepared to share examples of how you've worked with cross-functional teams in the past. Highlight your ability to communicate complex ideas clearly and how you’ve contributed to successful project outcomes through collaboration.
