Job Description White Collar Factory (95009), United Kingdom, London, London
Staff Software Engineer - Machine Learning
About this role
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 externa
Staff Software Engineer - Machine Learning in Liverpool employer: Capital One UK
At Capital One, we pride ourselves on being a leading technology-driven company that values innovation and collaboration. Our Nottingham office offers a vibrant work culture with extensive growth opportunities, including access to funding for external qualifications and a comprehensive benefits package designed to support your well-being. Join us to make a meaningful impact in the world of finance while enjoying a supportive environment that champions diversity and inclusion.
