At a Glance
- Tasks: Lead a team to develop innovative AI-driven financial products.
- Company: Join Capital One, a leader in consumer finance technology.
- Benefits: Enjoy hybrid working, competitive salary, and career growth opportunities.
- Other info: Flexible work environment that promotes teamwork and innovation.
- Why this job: Make an impact by integrating machine learning into real-world applications.
- Qualifications: Proven leadership in software engineering and knowledge of RESTful APIs.
The predicted salary is between 70000 - 90000 € per year.
Capital One (Europe) plc is looking for a Software Engineering Manager to oversee the development of innovative, consumer-facing financial products in London or Nottingham. This role involves leading a team of engineers, ensuring the integration of machine learning into software systems.
The ideal candidate will have proven leadership experience in software engineering, excellent knowledge of RESTful API development, and familiarity with cloud environments like AWS or Azure.
This permanent position offers hybrid working, allowing flexibility while fostering teamwork.
Engineering Manager — AI-Driven Software & ML in London employer: Capital One (Europe) plc
Capital One (Europe) plc is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of London or Nottingham. With a strong focus on employee growth, we provide ample opportunities for professional development and a hybrid working model that promotes work-life balance while fostering a sense of community among our teams. Join us to be part of a forward-thinking company that values your contributions and supports your career aspirations in the exciting field of AI-driven software and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager — AI-Driven Software & ML in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Capital One or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with machine learning and software engineering. This will give you an edge during interviews and show that you’re not just all talk.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your coding skills and understanding RESTful APIs. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨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 and take the initiative to connect directly with us.
We think you need these skills to ace Engineering Manager — AI-Driven Software & ML in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Engineering Manager role. Highlight your leadership experience in software engineering and any relevant projects involving machine learning or cloud environments.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI-driven software and how your background makes you a perfect fit for our team. Be sure to mention specific examples of your work with RESTful APIs and cloud technologies.
Showcase Your Team Leadership:In your application, emphasise your experience leading teams. We want to see how you've motivated engineers and fostered collaboration, especially in hybrid working environments.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at Capital One (Europe) plc
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of RESTful API development and cloud environments like AWS or Azure. Be ready to discuss specific projects where you've integrated machine learning into software systems, as this will show your hands-on experience.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience in software engineering. Think about times when you successfully led a team through challenges or implemented innovative solutions. This will demonstrate your ability to manage and inspire a team effectively.
✨Understand the Company Culture
Research Capital One's values and culture. Be prepared to discuss how your personal values align with theirs, especially regarding teamwork and innovation. This will help you connect with the interviewers and show that you're a good fit for their environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team you'll be leading. Inquire about the current projects, challenges they face, and how they envision the integration of AI in their products. This shows your genuine interest and helps you assess if the role is right for you.
