Job Title
Technical Product Owner (AI/ML Platform)
Location
London
Corporate Title
Vice President
Overview
As the Technical Product Owner for the AI/ML Platform, you will own the vision, roadmap, and delivery of the core engineering and MLOps capabilities that empower our data scientists and developers. You will be the crucial link between the advanced needs of our AI/ML practitioners and the platform engineering teams that build the foundational tools. This role requires a deep technical understanding of the machine learning lifecycle and the ability to translate architectural and data science requirements into a clear, actionable product backlog. Your primary objective is to maximize the velocity, efficiency, and scalability of how AI/ML models are built, deployed, and managed in Credit Risk.
What we’ll offer you
- Hybrid working – we understand employee expectations and preferences are shifting.
- Competitive salary and non-contributory pension.
- 30 days holiday plus bank holidays, with option to purchase additional days.
- Life assurance and private healthcare for you and your family.
- Flexible benefits including retail discounts, Bike4Work scheme and gym benefits.
- Opportunity to support a wide ranging CSR programme and 2 days volunteering leave per year.
Key Responsibilities
- Define and communicate a clear product vision and roadmap for the AI/ML platform, focusing on technical capabilities such as data pipelines, feature stores, model serving infrastructure, and monitoring frameworks.
- Create, maintain, and prioritise the product backlog with focus on platform features, architectural enhancements, and developer tooling.
- Translate complex technical requirements from data scientists and engineers into well‑defined epics, user stories, and API contracts.
- Act as the primary technical interface for the platform's users (data scientists, ML engineers, application developers).
- Partner closely with tech leads and architects to make key design decisions, ensuring scalability, robustness and alignment with enterprise technology standards.
- Make decisive priority calls balancing new data science capabilities, technical debt reduction, system performance improvement and strategic business initiatives.
- Own release of new platform features, APIs, and tools.
- Drive adoption by creating documentation, running demos, and providing support for technical practitioners.
Skills & Experience
- Proven experience as a Technical Product Owner, Platform Product Manager, or senior engineering/architecture role with strong product instincts.
- Deep technical understanding of the end‑to‑end AI/ML lifecycle and associated engineering challenges (MLOps, CI/CD for models, data engineering).
- Experience working directly with cloud platforms (GCP, AWS, Azure) and containerisation technologies (Docker, Kubernetes).
- Strong background in software engineering, comfortable discussing APIs, microservices architecture, data schemas, and infrastructure.
- Proven ability to work in an Agile environment with engineering teams to define and deliver technical products.
- Excellent communication skills, with ability to articulate complex technical trade‑offs and decisions to both technical and non‑technical stakeholders.
How we’ll support you
- Training and development to help you excel in your career.
- A culture of continuous learning to aid progression.
- A range of flexible benefits you can tailor to suit your needs.
Equal Opportunities
We welcome applications from all people and promote a positive, fair and inclusive work environment. We value diversity and, as an equal opportunity employer, we make reasonable adjustments for those with a disability (e.g., screen readers, assistive hearing devices, adapted keyboards). If you have a disability, health condition or require adjustments during the application process, please contact our Adjustments Concierge by email.
