Job Description White Collar Factory (95009), United Kingdom, London, Londonn n Staff Software Engineer – Machine Learningn n n About this role n n We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. n n Do you love shaping the technical landscape and driving innovation across the organisation? n n Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? n n 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. n n What You’ll Do n n Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption n Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy n Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities n 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 n Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines n Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery n Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners n Represent Capital One in external ML/AI technical forums, contributing to industry discussions n Develop and advocate for strategies to proactively manage technical debt across ML/AI systems n Actively mentor and develop engineers, fostering a culture of continuous learning n n n What we’re looking for n n Deep expertise in Python and ML engineering n Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures n Track record of leading ML/AI technical initiatives across multiple teams n Strong experience with cloud platforms (AWS, Azure, GCP) n Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) n Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems n Experience designing and scaling low-latency, customer-facing ML/AI architectures n Proven experience setting a multi-team ML/AI technical vision and strategy n Strong track record of technical leadership and influence without authority n Experience driving ML engineering standards and best practices across organisations n Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems n Experience leveraging enterprise platforms to deliver business use cases at scale n Experience of steering Communities of Practice or technical forums n Strong business acumen and ability to translate ML/AI concepts for various audiences n n n Where and how you’ll work n n This is a permanent position based in our London office. n n We have a hybrid working model which gives you flexibility to work from our office and from home. n n 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. n n What’s in it for you n n Bring us all this – and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation n 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
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