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Staff Software Engineer - Machine LearningCapital One UK • London, England, United Kingdom
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Staff Software Engineer - Machine Learning

Capital One UK
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
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About

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine LearningAbout this roleWe’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 DoOwn and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoptionLead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategyProvide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilitiesProactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the businessDrive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelinesCollaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case deliveryBuild and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partnersRepresent Capital One in external ML/AI technical forums, contributing to industry discussionsDevelop and advocate for strategies to proactively manage technical debt across ML/AI systemsActively mentor and develop engineers, fostering a culture of continuous learningWhat we're looking forDeep expertise in Python and ML engineeringDeep expertise in ML/AI systems design, MLOps, and cloud-native architecturesTrack record of leading ML/AI technical initiatives across multiple teamsStrong 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 strategyStrong track record of technical leadership and influence without authorityExperience driving ML engineering standards and best practices across organisationsDeep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systemsExperience leveraging enterprise platforms to deliver business use cases at scaleExperience of steering Communities of Practice or technical forumsStrong business acumen and ability to translate ML/AI concepts for various audiencesWhere and how you'll workThis 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 youBring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformationWe 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 leaveOpen-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 recruitWe 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 alliesOutFront - to provide LGBTQ+ support for all associatesMind Your Mind - signposting support and promoting positive mental wellbeing for allWomen in Tech - promoting an inclusive environment in techEmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industryEnabled - focused on supporting associates with disabilities and neurodiversityCapital 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.comCapital 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.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).Who We AreAt 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.
  • London, England, United Kingdom

Languages

  • English
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