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Technical Product Owner (AI/ML Platform)

ExperiencedNo visa sponsorship
Deutsche Bank logo

at Deutsche Bank

Bulge Bracket Investment Banks

Posted 4 days ago

No clicks

**Technical Product Owner (AI/ML Platform) in London** Drive AI/ML platform's vision, roadmap, and delivery. Own the end-to-end lifecycle, from data pipelines to model serving. Collaborate cross-functionally to translate complex ML requirements into clear product backlogs. Prioritize features, architectural enhancements, and developer tooling. Expertise in AI/ML lifecycle, GCP/AWS/Azure, Docker/Kubernetes, Agile methodologies, and software engineering required.

Compensation
Not specified GBP

Currency: £ (GBP)

City
London
Country
United Kingdom

Full Job Description

Technical Product Owner (AI/ML Platform)

Job ID:R0419563 Full/Part-Time: Full-time
Regular/Temporary: Regular Listed: 2026-06-12
Location: London

Position Overview

Job Title Technical Product Owner (AI/ML Platform)

Location London

Corporate Title Vice President

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 well offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. Thats why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:

  • 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 well 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. Click here to see what we do.

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)

Compensation

Not specified GBP

City: London

Country: United Kingdom

Deutsche Bank logo
Bulge Bracket Investment Banks

4 days ago

No clicks

at Deutsche Bank

ExperiencedNo visa sponsorship

**Technical Product Owner (AI/ML Platform) in London** Drive AI/ML platform's vision, roadmap, and delivery. Own the end-to-end lifecycle, from data pipelines to model serving. Collaborate cross-functionally to translate complex ML requirements into clear product backlogs. Prioritize features, architectural enhancements, and developer tooling. Expertise in AI/ML lifecycle, GCP/AWS/Azure, Docker/Kubernetes, Agile methodologies, and software engineering required.

Full Job Description

Technical Product Owner (AI/ML Platform)

Job ID:R0419563 Full/Part-Time: Full-time
Regular/Temporary: Regular Listed: 2026-06-12
Location: London

Position Overview

Job Title Technical Product Owner (AI/ML Platform)

Location London

Corporate Title Vice President

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 well offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. Thats why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:

  • 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 well 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. Click here to see what we do.

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.