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: Competitive salary, performance bonuses, and access to excellent health benefits.
- Other info: Enjoy a hybrid work model and 10% innovation time for personal projects.
- Why this job: Make an impact in the financial sector while working with cutting-edge technology.
- Qualifications: Experience in leading engineering 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.
Engineering Manager – Software & ML in London 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 office, you will lead a talented team in developing cutting-edge software solutions 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 in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to software engineering and ML. We want to show off our skills and how we can lead a team effectively!
✨Tip Number 3
Don’t forget to showcase our leadership experience! Think of examples where we’ve nurtured talent or bridged gaps between teams. This is key for landing that Engineering Manager role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in being part of the team.
We think you need these skills to ace Engineering Manager – 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 and any relevant technical expertise, especially in software development and machine learning.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how you can contribute to our team. Share specific examples of how you've led teams or integrated ML into projects to show us what you bring to the table.
Showcase Your Technical Skills:Don’t shy away from mentioning your technical prowess! Whether it’s RESTful API development or cloud environments like AWS, make sure we see your breadth of knowledge and how it fits with our needs.
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 the role. 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. Familiarity with AWS or Azure will also give you an edge, so be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading software engineering teams. Think about specific instances where you nurtured talent or helped your team achieve their goals. This role is all about supporting and growing a team, so demonstrating your leadership style will be key.
✨Understand AI Integration
Even if you're not an AI researcher, having a solid grasp of how machine learning fits into software development is crucial. Be prepared to discuss your understanding of model inference and the challenges of integrating AI into production environments. This shows you’re aligned with the company’s focus on data-driven products.
✨Collaborate and Communicate
Since this role involves working closely with Product Managers and Data Scientists, think about how you can demonstrate your collaborative mindset. Prepare to share examples of how you've effectively communicated across teams to reduce technical debt and enhance project outcomes.
