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- Tasks: Lead a team to develop innovative automation solutions using AI and RPA technologies.
- Company: Global payments platform based in London with a focus on collaboration.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Join a forward-thinking company and make a significant impact in the automation space.
- Qualifications: Over five years of software development experience and expertise in Python.
- Other info: Dynamic environment that encourages innovation and teamwork.
The predicted salary is between 80000 - 100000 £ per year.
A global payments platform in London seeks a Manager of Intelligent Automation Engineering to lead the development of automation solutions using AI and RPA technologies. The ideal candidate will have over five years of software development experience, expertise in Python, and strong management skills. You will oversee a team and ensure high-quality, compliant delivery of automation solutions. This role supports a hybrid working model with an emphasis on collaboration and innovation.
Lead, Intelligent Automation & AI Engineering in London employer: Paysafe
Contact Detail:
Paysafe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead, Intelligent Automation & AI Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automation projects, especially those using Python and RPA. It’s a great way to demonstrate your expertise beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and automation. We recommend practising with a friend or even in front of the mirror to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining our team.
We think you need these skills to ace Lead, Intelligent Automation & AI Engineering in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your software development experience, especially with Python. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills and past projects!
Management Skills Matter: Since this role involves overseeing a team, it’s crucial to demonstrate your management skills. Share examples of how you've led teams or projects in the past, and how you foster collaboration and innovation.
Tailor Your Application: Take a moment to tailor your application to our job description. Use keywords from the listing to show that you understand what we’re looking for. This helps us see you as a great fit for the role!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Paysafe
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant RPA technologies before the interview. Be ready to discuss specific projects where you've implemented automation solutions, as this will show your hands-on experience and technical expertise.
✨Showcase Your Leadership Skills
Since this role involves overseeing a team, be prepared to share examples of how you've successfully managed teams in the past. Highlight your approach to fostering collaboration and innovation, as well as how you handle challenges within a team setting.
✨Understand the Company’s Vision
Research the global payments platform and understand their mission and values. Tailor your responses to align with their goals, especially regarding how intelligent automation can enhance their services. This shows that you're not just interested in the role, but also in contributing to their success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles related to automation and AI, and prepare structured responses that demonstrate your critical thinking and decision-making skills.