At a Glance
- Tasks: Lead ML/AI strategies and drive innovation across teams to enhance customer experiences.
- Company: Join Capital One, a leader in tech-driven banking solutions.
- Benefits: Enjoy competitive pay, flexible working, and extensive career development opportunities.
- Other info: Diverse and inclusive workplace with strong support networks for all associates.
- Why this job: Make a real impact by solving complex AI challenges in a collaborative environment.
- Qualifications: Expertise in Python, ML engineering, and cloud platforms required.
The predicted salary is between 80000 - 100000 € per year.
We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs.
What You'll Do
- Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption.
- Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy.
- Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities.
- Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business.
- Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines.
- Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery.
- Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners.
- Represent Capital One in external ML/AI technical forums, contributing to industry discussions.
- Develop and advocate for strategies to proactively manage technical debt across ML/AI systems.
- Actively mentor and develop engineers, fostering a culture of continuous learning.
What we're looking for
- Deep expertise in Python and ML engineering.
- Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures.
- Track record of leading ML/AI technical initiatives across multiple teams.
- Strong experience with cloud platforms (AWS, Azure, GCP).
- Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG).
- Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems.
- Experience designing and scaling low-latency, customer-facing ML/AI architectures.
- Proven experience setting a multi-team ML/AI technical vision and strategy.
- Strong track record of technical leadership and influence without authority.
- Experience driving ML engineering standards and best practices across organisations.
- Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems.
- Experience leveraging enterprise platforms to deliver business use cases at scale.
- Experience of steering Communities of Practice or technical forums.
- Strong business acumen and ability to translate ML/AI concepts for various audiences.
Where and how you'll work
This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays.
What's in it for you
Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation. We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers). Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave. Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.
What you should know about how we recruit
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.
We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:
- REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies.
- OutFront - to provide LGBTQ+ support for all associates.
- Mind Your Mind - signposting support and promoting positive mental wellbeing for all.
- Women in Tech - promoting an inclusive environment in tech.
- EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry.
- Enabled - focused on supporting associates with disabilities and neurodiversity.
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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Staff Software Engineer - Machine Learning in London employer: All The Top Bananas
At Capital One, we pride ourselves on being an exceptional employer, particularly for our Staff Software Engineer - Machine Learning role based in London. Our hybrid working model promotes flexibility and collaboration, while our commitment to employee development through extensive training programmes ensures that you can grow your career in a supportive environment. With a focus on diversity and inclusion, we foster a culture where innovation thrives, and every voice is valued, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer - Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects or contributions to open-source. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML/AI questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use platforms that offer interview prep.
✨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 genuinely interested in joining our mission at Capital One.
We think you need these skills to ace Staff Software Engineer - Machine Learning in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Software Engineer role. Highlight your experience with ML/AI systems and how it aligns with our mission at Capital One. We want to see how you can drive innovation and technical strategy!
Showcase Your Technical Skills:Don’t hold back on showcasing your deep expertise in Python, MLOps, and cloud platforms. We’re looking for someone who can lead ML engineering efforts, so make sure to include relevant projects or achievements that demonstrate your skills.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it relates to the role. We appreciate clarity and want to understand your journey without sifting through fluff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Capital One!
How to prepare for a job interview at All The Top Bananas
✨Know Your ML/AI Stuff
Make sure you brush up on your knowledge of machine learning and AI systems. Be ready to discuss your experience with frameworks like PyTorch and TensorFlow, as well as your understanding of MLOps practices. This role is all about driving technical strategy, so show them you know your stuff!
✨Showcase Your Leadership Skills
Since this position involves leading ML engineering efforts across multiple teams, be prepared to share examples of how you've influenced technical direction in the past. Highlight any experience you have in mentoring others or steering Communities of Practice, as this will demonstrate your ability to lead without authority.
✨Align with Business Objectives
Capital One is looking for someone who can align ML/AI initiatives with broader business goals. Think about how your previous projects have contributed to business success and be ready to discuss how you can do the same here. This shows that you understand the bigger picture and can drive impactful solutions.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their ML/AI strategy, team dynamics, and how they foster innovation. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
