About The Company
Capital One located in London, United Kingdom, is a dynamic and innovative organization committed to leveraging cutting-edge technology to transform the banking and financial services industry. As part of the Capital One family, the company emphasizes a culture of collaboration, diversity, and inclusion, fostering an environment where talented professionals can thrive. Capital One is renowned for its customer-centric approach, technological innovation, and dedication to building a leading information-based technology enterprise. With a focus on delivering impactful solutions, White Collar Factory continually invests in its people, infrastructure, and strategic initiatives to stay at the forefront of the industry.
About The Role
We are seeking a highly skilled Staff Software Engineer specializing in Machine Learning (ML) to join our team at White Collar Factory. This pivotal role involves shaping the technical landscape of ML and AI within the organization, driving innovation, and leading the development and implementation of advanced ML/AI solutions. The successful candidate will own and influence the ML/AI technical strategy across UK use cases, collaborating with multiple teams to ensure alignment with business objectives and enterprise platform capabilities. This position offers an exciting opportunity to work on complex ML/AI challenges, develop industry-leading practices, and contribute to the organization’s digital transformation journey. The role is based in our London office with a hybrid working model, providing flexibility to balance on-site collaboration and remote work.
Qualifications
- Deep expertise in Python and ML engineering
- Extensive experience designing and scaling low-latency, customer-facing ML/AI architectures
- Strong knowledge of ML frameworks such as PyTorch, TensorFlow, scikit-learn
- Experience with Gen AI/Agentic frameworks including LangGraph, LangChain, VectorDBs, and RAG
- Proficiency with cloud platforms (AWS, Azure, GCP)
- Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management
- Proven track record leading ML/AI initiatives across multiple teams
- Experience with MLOps, including CI/CD, automated testing, monitoring, and deployment pipelines
- Strong business acumen with the ability to translate ML/AI concepts for diverse audiences
- Experience in developing and advocating for ML/AI strategies and technical standards
- Knowledge of full ML/AI lifecycle, including model serving, data pipelines, and Gen AI systems
- Experience with communities of practice or technical forums in ML/AI
- Degree in Computer Science, Data Science, or related field (advanced degree preferred)
Responsibilities
- Own and drive the ML/AI technical strategy for UK use cases, influencing organizational direction
- Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with business goals and enterprise platform capabilities
- Provide technical consultancy on architectural decisions, solution design, and effective use of ML/AI platforms
- Identify emerging ML/AI patterns, define best practices, and evangelize reusable approaches to enhance delivery
- Drive MLOps standards, including CI/CD pipelines, model monitoring, automated testing, and deployment practices
- Collaborate with enterprise platform and data science teams to enhance platform capabilities and deliver use cases
- Establish and maintain relationships with key stakeholders, including senior leadership, product owners, and external partners
- Represent Capital One in external ML/AI forums and industry discussions
- Develop strategies for managing technical debt within ML/AI systems
- Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of ML/AI innovation
- Mentor and support junior team members, fostering a culture of continuous learning and excellence
Benefits
- Competitive salary and performance-based bonus
- Comprehensive pension scheme and private medical insurance
- Generous holiday entitlement with flexible leave options
- Access to Capital One University training programs and external development opportunities
- Flexible working arrangements, including hybrid working model
- Season-ticket loans, cycle-to-work scheme, and other flexible benefits
- State-of-the-art office facilities with open-plan workspaces, gym, subsidized restaurant, mindfulness, and music rooms
- Supportive and inclusive work environment with internal networks and support groups
Equal Opportunity
Capital One is committed to creating a diverse and inclusive workplace. We believe that a variety of perspectives and experiences enrich our organization and enable us to better serve our customers. We are an equal opportunity employer and welcome applications from individuals of all backgrounds, regardless of race, gender, ethnicity, disability, sexual orientation, or any other characteristic protected by law. We partner with organizations such as Women in Finance, Race At Work Charters, Stonewall, and upReach to promote equity and inclusion. We actively support internal affinity groups and initiatives to ensure a welcoming environment for all employees.
