At a Glance
- Tasks: Lead a team to develop software and integrate machine learning into financial products.
- Company: Join Capital One, a leading tech-driven financial company.
- Benefits: Enjoy competitive salary, performance bonuses, and generous holiday.
- Other info: Hybrid work model with access to world-class facilities and training opportunities.
- Why this job: Make a real impact in the world of finance with cutting-edge technology.
- Qualifications: Experience in software engineering and leadership, with knowledge of AI integration.
The predicted salary is between 80000 - 100000 £ 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 expectations of how AI fits into the stack. You understand 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 maximize inner-sourcing 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 both 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.
Engineering Manager - Software & ML in Westminster employer: Capital One UK
At Capital One, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides a vibrant environment where you can lead a talented team in developing cutting-edge financial products while enjoying benefits like flexible working arrangements, access to extensive training resources, and a commitment to diversity and inclusion. With opportunities for personal and professional growth, you'll be empowered to make a meaningful impact in the world of technology and finance.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - Software & ML in Westminster
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your experience aligns with their needs. Practise common interview questions and think about how you can showcase your leadership skills.
✨Tip Number 3
Show off your projects! If you've worked on relevant software or ML projects, make sure to highlight them during interviews. Bring a portfolio or links to your work to demonstrate your technical prowess and creativity.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 in Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software engineering and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role at StudySmarter and how your leadership style can nurture talent within our team. Keep it engaging and personal!
Showcase Your Technical Skills:Don’t forget to mention your technical expertise, especially in RESTful API development and cloud environments like AWS or Azure. We love seeing candidates who can bridge the gap between software and AI!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your documents and get you into our system quickly!
How to prepare for a job interview at Capital One UK
✨Know Your Tech Inside Out
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 cloud environments such as AWS or Azure, as these are crucial for the role.
✨Showcase Your Leadership Skills
Prepare examples that demonstrate your experience in leading software engineering teams. Think about how you've nurtured talent and supported your team in achieving their goals, especially in a cross-functional setting.
✨Understand Machine Learning Basics
Even if you're not a researcher, having a solid grasp of how AI fits into software development is key. Be ready to discuss model inference, data requirements, and how to handle the non-deterministic nature of AI during your interview.
✨Communicate Collaboratively
Practice articulating your thoughts clearly and effectively. You'll need to bridge the gap between engineering teams and other departments, so being able to communicate your ideas and strategies will be vital in showcasing your collaborative mindset.
