Staff Software Engineer - Machine Learning
External
Capital One · Ec1y8afFull-timeOn-site3w ago
AWSAzureCI/CDGCPLangChainLeadership
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Responsibilities
- 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
Requirements
- 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.
Benefits
Bring 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 also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach
Additional Information
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.
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