AI & Automation Specialist Operational Excellence London

AI & Automation Specialist Operational Excellence London

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Checkout Ltd

At a Glance

  • Tasks: Prototype and ship AI tools to automate operational processes and reduce manual effort.
  • Company: Checkout.com, a leader in innovative payment solutions with a collaborative culture.
  • Benefits: Hybrid work model, real ownership, growth opportunities, and an inclusive environment.
  • Other info: Join a dynamic team focused on innovation and continuous improvement.
  • Why this job: Make a real impact by transforming operations with cutting-edge AI technology.
  • Qualifications: Experience building tools with AI technologies and a passion for problem-solving.

The predicted salary is between 60000 - 80000 £ per year.

About the Role

Checkout.com's Process Architecture pillar designs how operations should work. This role builds what that looks like in practice. You'll use modern AI‑assisted development tools, Cursor, Claude Code, n8n, and LLM APIs, to rapidly prototype and ship internal tools that eliminate manual effort across our operational teams. Your primary customers are Disputes, Due Diligence, and Transaction Monitoring: high‑volume, high‑stakes teams where the right automation meaningfully reduces analyst burden and improves decision quality. You'll move fast. You'll take processes that currently live in spreadsheets and manual case queues and turn them into something that mostly runs itself. Process Architects redesign how work flows; you make the new flow real.

What You'll Do

  • Use AI‑assisted development (Cursor, Claude Code) to prototype and ship tools for operational teams – fast.
  • Build workflow automations that connect case management systems, document stores, APIs, and LLMs into end‑to‑end pipelines.
  • Create analyst‑facing interfaces, triage tools, summary generators using self‑built applications, Retool, or similar.
  • Apply LLMs where they reduce cognitive load: classification, case summarisation, structured extraction, decision support.
  • Embed with Disputes, CDD, Periodic Review, and Transaction Monitoring to learn how analysts actually work – not how the process doc says they do.
  • Translate vague pain points – e.g. "this part takes forever" – into shipped tools in days or weeks, not quarters.
  • Demo early, iterate based on what analysts actually use versus ignore.
  • Treat every tool as a product: instrument usage, capture feedback, measure time saved or quality gained.
  • Document what you build and share reusable patterns so good ideas compound.

What We're Looking For

We care more about what you've built and how you think than years of experience or formal credentials.

Must‑haves

  • You have built something real using Cursor, Claude Code, Copilot, or similar – a script, tool, side project that solved an actual problem, not just tutorials.
  • Comfortable in Python, or willing to be within weeks.
  • Basic API fluency: you can read a doc, make a request, parse the response, and chain a few calls.
  • Familiarity with at least one LLM API. You've written a prompt, gotten structured output back, and understood why it sometimes goes wrong.
  • Bias to ship – you'd rather get a rough version in front of users on Friday than a polished version in three weeks.
  • Curiosity. You're the kind of person who opens the hood – you want to understand how things work, not just use them.

Nice‑to‑haves

  • Workflow automation tools (Zapier, n8n, Make).
  • Retool, Gradio, or similar lightweight UI frameworks.
  • Git, basic SQL, or comfort with JSON/CSV at scale.
  • Exposure to payments, fraud, compliance, or risk operations – even tangentially.
  • A portfolio, GitHub, or demo you can walk us through.

Benefits

  • Hybrid working model with three days per week in office.
  • Real ownership and meaningful challenges from day one.
  • Growth opportunities and support from the team.
  • Support for diverse backgrounds and identities, with an inclusive work environment.

AI & Automation Specialist Operational Excellence London employer: Checkout Ltd

Checkout.com is an exceptional employer that fosters a dynamic and inclusive work culture, particularly for the AI & Automation Specialist role in London. With a hybrid working model, employees enjoy the flexibility of three days in the office while taking on meaningful challenges from day one. The company prioritises growth opportunities, providing support for diverse backgrounds and identities, ensuring that every team member can thrive and contribute to innovative solutions that enhance operational excellence.

Checkout Ltd

Contact Details:

Checkout Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI & Automation Specialist Operational Excellence London

Tip Number 1

Get your hands dirty with some real projects! Show us what you've built using tools like Cursor or Claude Code. We want to see your creativity in action, so don’t just stick to tutorials – solve actual problems and share your journey.

Tip Number 2

Network like a pro! Connect with folks in the industry on platforms like LinkedIn. Join relevant groups and discussions to get your name out there. You never know who might be looking for someone with your skills!

Tip Number 3

When you land that interview, be ready to demo your work! Bring along your portfolio or GitHub to showcase your projects. We love seeing how you think and what you've created, so make it easy for us to see your potential.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who are eager to make an impact.

We think you need these skills to ace AI & Automation Specialist Operational Excellence London

AI-assisted development
Cursor
Claude Code
Python
API fluency
LLM API familiarity
Workflow automation tools

Some tips for your application 🫡

Show Us Your Projects:When you're applying, make sure to highlight any real projects you've built using tools like Cursor or Claude Code. We want to see what you've created and how it solved actual problems, not just your coursework or tutorials.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and fluff. Tell us exactly how you can help improve our operational processes with your skills.

Demonstrate Your Curiosity:Let us know about your curiosity and willingness to learn. Share examples of how you've explored new technologies or tackled challenges in your previous work. We love candidates who are eager to dive deep!

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!

How to prepare for a job interview at Checkout Ltd

Showcase Your Projects

Make sure to bring along examples of what you've built using tools like Cursor or Claude Code. Talk about the problems you solved and how your projects made a difference. This is your chance to demonstrate your hands-on experience and creativity!

Understand the Role Deeply

Before the interview, dive into the specifics of how Disputes, Due Diligence, and Transaction Monitoring teams operate. Knowing their pain points will help you discuss how your skills can directly address their needs and improve their workflows.

Emphasise Your Bias to Ship

Be ready to discuss your approach to getting things done quickly. Share examples where you prioritised speed over perfection, and how that benefited users. This aligns perfectly with the company's fast-paced environment and their focus on rapid prototyping.

Ask Insightful Questions

Prepare thoughtful questions about the team's current challenges and how they envision automation improving their processes. This shows your curiosity and willingness to engage, plus it gives you valuable insights into their operations.