At a Glance
- Tasks: Join our AI team to innovate and develop cutting-edge AI solutions that drive real business impact.
- Company: Be part of a leading global payments company with a vibrant, inclusive culture.
- Benefits: Enjoy competitive pay, remote work options, and opportunities for professional growth.
- Other info: Collaborate with top minds in a dynamic environment with endless learning opportunities.
- Why this job: Work at the forefront of AI technology and make a difference in the payments industry.
- Qualifications: 5+ years in AI/ML, strong Python skills, and a passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
Ready to take your career global? Make your mark at one of the biggest names in payments. We're looking for an AI Engineer to join our AI Innovation & Technology team. You'll work at the forefront of AI, exploring emerging technologies, rapidly prototyping new ideas, and transforming promising innovations into production-ready solutions that create measurable business impact.
This role is ideal for someone who enjoys combining deep technical expertise with experimentation and discovery. You'll continuously evaluate new AI capabilities, conduct research and proof of concepts, and help identify opportunities where AI can unlock new customer and business value. You'll work across Generative AI, Agentic AI, Machine Learning, and LLMs, helping deliver innovative capabilities that create real business value.
What you’ll own:
- 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.
- Collaborate with business and technology teams to identify high-value use cases.
- Drive a culture of innovation through experimentation, knowledge sharing, and continuous learning.
- Help define best practices, technical standards, and reusable patterns for AI development across the organization.
- Develop agentic AI workflows using orchestration frameworks such as LangChain, or similar.
- Develop and maintain AI system blueprints, ensure integration with existing infrastructure, and optimize performance and scalability.
- Ensure compliance, observability, and scalability are embedded in design decisions.
- Drive best practices for AI model deployment, monitoring, and continual improvement.
- Ensure AI solutions comply with organizational security, ethical guidelines, and regulatory standards.
- Collaborate with engineering, product, and business teams to identify and deliver high-impact AI opportunities.
- Stay at the forefront of advancements in AI, foundation models, and autonomous agents.
What you’ll bring:
- 5+ years of experience in AI, Machine Learning, Data Science, or related fields.
- 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.
Bonus Points:
- Advanced degree in AI, Computer Science, Data Science, or related disciplines.
- Research, publications, patents, or open-source contributions in AI/ML.
- Knowledge of payments, fintech, or financial services.
About the team:
Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
AI Engineer employer: Worldpay
Worldpay is an exceptional employer that fosters a vibrant and inclusive work culture in Leicester, where innovation and collaboration are at the forefront. Employees benefit from comprehensive training, ample opportunities for career growth, and the potential for significant earnings, making it a rewarding place to advance your sales career. Join a team that values your contributions and empowers you to make impactful decisions every day.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Worldpay!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer at Worldpay.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Worldpay.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer at Worldpay, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Worldpay, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Worldpay. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Worldpay
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Worldpay!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
