At a Glance
- Tasks: Lead the vision and delivery of our AI/ML platform, empowering data scientists and developers.
- Company: Join Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Other info: Embrace continuous learning and excellent career growth opportunities in a dynamic team.
- Why this job: Make a real impact in AI/ML while developing your career in a supportive environment.
- Qualifications: Experience as a Technical Product Owner with strong knowledge of AI/ML and cloud platforms.
The predicted salary is between 80000 - 100000 £ per year.
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 that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- Competitive salary and non-contributory pension.
- 30 days’ holiday plus bank holidays, with the option to purchase additional days.
- Life Assurance and Private Healthcare for you and your family.
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
- The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities:
- Defining and communicating 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.
- Creating, maintaining, and prioritizing the product backlog with a 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.
- Acting as the primary technical interface for the platform's users (Data Scientists, ML Engineers, Application Developers).
- Partnering closely with Tech Leads and Architects to make key decisions on the platform's design, ensuring it is scalable, robust, and aligned with enterprise technology standards.
- Making decisive priority calls based on a balance of enabling new data science capabilities, reducing technical debt, improving system performance, and delivering strategic business initiatives.
- Owning the release of new platform features, APIs, and tools. Drive adoption by creating documentation, running demos, and providing support for your user base of technical practitioners.
Your skills and experience:
- Proven experience as a Technical Product Owner, Platform Product Manager, or a senior engineering/architecture role with strong product instincts.
- Deep technical understanding of the end-to-end AI/ML lifecycle and the associated engineering challenges (e.g., MLOps, CI/CD for models, data engineering).
- Experience working directly with cloud platforms (GCP, AWS, Azure) and containerization technologies (Docker, Kubernetes).
- Strong background in software engineering, with the ability to comfortably discuss 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 the 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 that you can tailor to suit your needs.
We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards).
About us: Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.
If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss.
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Technical Product Owner (AI/ML Platform) in London employer: Deutsche Bank
Deutsche Bank is an exceptional employer, offering a dynamic work environment in London that prioritises employee development and wellbeing. With a commitment to hybrid working, competitive salaries, and a range of flexible benefits, including generous holiday allowances and private healthcare, employees are empowered to thrive both professionally and personally. The culture fosters continuous learning and inclusivity, making it an ideal place for those looking to grow their careers in the fast-evolving field of AI/ML.
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We think you need these skills to ace Technical Product Owner (AI/ML Platform) in London
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