At a Glance
- Tasks: Lead a team integrating machine learning into financial products and support software development.
- Company: Capital One, a leading financial services company with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and comprehensive benefits package.
- Other info: Opportunity for career growth in a collaborative and innovative environment.
- Why this job: Join a dynamic team and shape the future of finance with cutting-edge technology.
- Qualifications: Strong leadership skills, experience with RESTful APIs, and knowledge of AWS.
The predicted salary is between 70000 - 90000 £ per year.
Capital One is seeking a Software Engineering Manager in London to lead a team focused on integrating machine learning into financial products. You'll support engineers in developing key software features while collaborating with product managers and data scientists.
The ideal candidate has strong leadership experience, knowledge of RESTful APIs, and cloud environments like AWS. This position is hybrid, requiring office presence three days a week, with competitive salary and benefits.
Engineering Manager — Software & ML Leader (Hybrid) in London employer: Capital One
Capital One is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, you will have access to extensive training and development opportunities, alongside competitive salaries and benefits. The hybrid work model allows for flexibility while still promoting teamwork and engagement within a cutting-edge environment dedicated to integrating machine learning into financial products.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager — Software & ML Leader (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Capital One on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on your leadership skills and technical knowledge. We should be ready to discuss how we've integrated machine learning into projects and how we’ve led teams in the past.
✨Tip Number 3
Showcase our passion for innovation! During interviews, let’s share examples of how we’ve used RESTful APIs and cloud environments like AWS to drive success in previous roles. It’ll show we’re the right fit for the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re serious about joining the Capital One family.
We think you need these skills to ace Engineering Manager — Software & ML Leader (Hybrid) in London
Some tips for your application 🫡
Show Your Leadership Skills:When writing your application, make sure to highlight your leadership experience. We want to see how you've supported and guided teams in the past, especially in tech environments like software and machine learning.
Be Specific About Your Technical Skills:Mention your knowledge of RESTful APIs and cloud environments like AWS. We’re looking for candidates who can demonstrate their technical expertise clearly, so don’t hold back on the details!
Tailor Your Application:Make sure your application speaks directly to the job description. We love it when candidates take the time to align their experiences with what we’re looking for, so personalise your cover letter and CV to fit the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates about your application status directly from us!
How to prepare for a job interview at Capital One
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of RESTful APIs and cloud environments like AWS. Be ready to discuss how you've used these technologies in past projects, as this will show your technical expertise and ability to lead a team effectively.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience. Think about times when you've successfully guided a team through challenges or implemented new processes. This will demonstrate your capability to support engineers and collaborate with product managers and data scientists.
✨Understand the Company Culture
Research Capital One's values and culture. Be prepared to discuss how your personal values align with theirs. This will help you connect with the interviewers and show that you're not just a fit for the role, but also for the company.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about the team's current projects, challenges they face with integrating machine learning, or how success is measured in this role. This shows your genuine interest and helps you assess if the position is right for you.
