Technical Product Owner (AI/ML Platform) in London

Technical Product Owner (AI/ML Platform) in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Deutsche Bank AG

At a Glance

  • Tasks: Lead the vision and delivery of our AI/ML platform, empowering data scientists and developers.
  • Company: Join a forward-thinking company that values innovation and collaboration.
  • Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and flexible benefits.
  • Other info: Embrace a culture of continuous learning and diverse opportunities for growth.
  • Why this job: Make a real impact in AI/ML while developing your career in a dynamic environment.
  • Qualifications: Experience as a Technical Product Owner with strong understanding of AI/ML lifecycle.

The predicted salary is between 70000 - 90000 £ per year.

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.

Technical Product Owner (AI/ML Platform) in London employer: Deutsche Bank AG

As a leading employer in the heart of London, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programmes and a culture of continuous learning, ensuring you can thrive in your role as a Technical Product Owner for our AI/ML Platform. With competitive benefits, including hybrid working options, generous holiday allowances, and a strong focus on diversity and inclusion, we provide an exceptional workplace where your contributions are valued and impactful.

Deutsche Bank AG

Contact Details:

Deutsche Bank AG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technical Product Owner (AI/ML Platform) in London

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Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Deutsche Bank AG would be by your initiative!

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We think you need these skills to ace Technical Product Owner (AI/ML Platform) in London

Technical Product Ownership
AI/ML Lifecycle Understanding
MLOps
CI/CD for Models
Data Engineering
Cloud Platforms (GCP, AWS, Azure)
Containerisation Technologies (Docker, Kubernetes)

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like Technical Product Owner (AI/ML Platform), let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!

Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!

Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.

Tailor Your CV to the Role:Make sure your CV is tailored for the Technical Product Owner (AI/ML Platform) position at Deutsche Bank AG. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!

How to prepare for a job interview at Deutsche Bank AG

Understand the Product Life Cycle

As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.

Showcase Your Cross-Functional Skills

Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.

Prepare for Case Studies

In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.

Know Your Metrics

Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.