At a Glance
- Tasks: Lead a team to develop software for data-driven financial products and integrate ML models.
- Company: Join a forward-thinking tech company focused on innovation and diversity.
- Benefits: Enjoy competitive salary, performance bonuses, and access to top-notch facilities.
- Other info: Hybrid work model with 10% innovation time for personal projects.
- Why this job: Make an impact in the fintech space while growing your leadership and technical skills.
- Qualifications: Experience in leading software teams and knowledge of RESTful APIs and cloud environments.
The predicted salary is between 70000 - 90000 € per year.
We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You’ll lead and grow a team that builds the core software powering our data‑driven financial products, ensuring our models are integrated into seamless, consumer‑facing experiences.
What you’ll do
- Lead & Scale: Support a cross‑functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers.
- Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals.
- Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software.
- Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI‑powered features.
- Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync.
What we’re looking for
- Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals.
- Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure).
- AI Awareness: You aren't necessarily a researcher, but you have an understanding of how AI fits into the stack, the basics of model inference, data requirements, and how to manage the non‑deterministic nature of AI.
- Strategic Thinking: Comfortable making technical trade‑offs between the need for rapid experimentation and long‑term architectural stability.
- Collaborative Mindset: Ability to communicate effectively across engineering teams to maximise innersourcing and reduce technical debt.
What you’ll get to learn
- ML Integration at Scale: How to take machine learning models out of the lab and into a high‑concurrency production environment.
- Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape.
- Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications.
Where and how you’ll work
This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You’ll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration.
What’s in it for you
- Innovation Time: We give you 10% of your time to work on cutting‑edge projects—whether that’s exploring new AI frameworks or building internal tools.
- Growth: Access to Capital One University and external training to help you grow as a leader and a technical strategist.
- Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday).
- World‑Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars.
Our Commitment to Diversity
We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com. All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
Engineering Manager – Software & ML employer: Capital One (Europe) plc
At Capital One, we are dedicated to fostering a dynamic and inclusive work environment where innovation thrives. As an Engineering Manager in our London or Nottingham offices, you will lead a talented team in developing cutting-edge financial products while enjoying a hybrid working model that promotes collaboration. With access to extensive training resources, competitive benefits, and a commitment to diversity, we empower our employees to grow both personally and professionally in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager – Software & ML
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info about the company culture and maybe even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can discuss RESTful APIs, cloud environments, and ML integration confidently. We want to see your passion and expertise shine through!
✨Tip Number 3
Showcase your leadership style during interviews. Share examples of how you've nurtured talent and led teams to success. We love hearing about your experiences and how you bridge gaps between teams!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Capital One.
We think you need these skills to ace Engineering Manager – Software & ML
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in software engineering and machine learning. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Leadership Experience:As an Engineering Manager, your leadership skills are key. Share examples of how you've nurtured talent and led teams to success. We love hearing about your coaching moments and how you’ve helped others grow.
Highlight Technical Skills:Don’t forget to mention your technical expertise! Whether it’s RESTful API development or cloud environments like AWS or Azure, we want to know what tools you’re comfortable with and how you’ve used them in past projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Capital One (Europe) plc
✨Know Your Tech Stack
Make sure you brush up on your knowledge of RESTful API development and the programming languages mentioned in the job description, like Java, Python, or .Net. Familiarise yourself with AWS or Azure as well, since they’re crucial for the role.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading software engineering teams. Think about how you've nurtured talent and supported engineers in achieving their goals, especially in a cross-functional environment.
✨Understand AI Integration
Even if you're not an AI researcher, it’s important to demonstrate your understanding of how AI fits into software development. Be ready to discuss model inference and the challenges of integrating machine learning into production systems.
✨Communicate Collaboratively
Since collaboration is key, practice articulating how you’ve effectively communicated with Product Managers and Data Scientists in the past. Highlight any strategies you’ve used to bridge gaps between teams and reduce technical debt.
