Director, Machine Learning Platform (all genders)

Delivery Hero

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profile Job Location:

Barcelona - Spain

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

We are looking for a Director Machine Learning to lead our ML Platform domain within the Data & Platform tribe. The position will be based in our Barcelona hub and will be responsible for defining a compelling vision shaping the strategy and driving the execution for Delivery Heros unified Machine Learning platform and establishing an MLOps culture. This highly strategic position requires gaining buy-in from senior stakeholders and driving implementation across diverse business units and will be instrumental in empowering teams across Delivery Hero to leverage AI effectively.

This role demands a leader with exceptional technical depth across machine learning domains combined with strategic foresight and proven stakeholder management experience in a globally distributed organisation. Success in this role is measured by the increase in innovation velocity efficiency and satisfaction of teams leveraging the ML platform.

Your Mission:

Reporting to the Senior Director Data Platform you will be responsible for leading and scaling the ML Platform domain. Your key responsibilities will include:

 

Strategic Leadership

  • Lead the vision strategy and roadmap for Delivery Heros unified ML platform aligning it with business product and global tech goals. Communicate this strategy and its value to your users and stakeholders including executives. 

  • Stay informed on MLOps and AI/ML trends like Generative AI.

Platform Development & Operations

  • Oversee the creation and continuous improvement of a comprehensive end-to-end MLOps platform and its target architecture technology stack and operational model.

  • Evangelize robust MLOps practices.

  • Establish and monitor key performance indicators (KPIs) and Service Level Objectives (SLOs) for platform reliability scalability performance cost-effectiveness and internal customer satisfaction.

People Management

  • Build lead mentor coach and inspire high-performing teams. 

  • Cultivate a world-class engineering culture centred on innovation collaboration technical rigour ownership agility and continuous learning.

  • Attract hire develop and retain top-tier talent; manage team performance provide career growth pathways and build leadership capacity within your organisation.

Stakeholder Management

  • Serve as a primary technology partner to key stakeholders globally and deeply understand their current and future ML needs.

  • Proactively influence cross-functional teams and senior leadership to drive alignment secure buy-in and promote the adoption of platform capabilities standards and best practices.

  • Meet immediate stakeholder demands while building for long-term scalability and maintainability

Cost Management

  • Ensure efficient allocation of capital and operational expenditures and drive cost optimisation initiatives.

  • Oversee relationships with key technology vendors and partners where applicable.


Qualifications :

Technical Experience

  • 10 years of experience in Data & ML leadership within high-growth tech.

  • Specializes in hands-on design and operation of MLOps platforms.

  • Expertise includes CI/CD for ML deployment pipelines monitoring feature stores and scalable serving.

  • Proficient in the end-to-end ML lifecycle and common ML techniques.

  • Familiar with major hyperscaler MLOps offerings.

  • Strong understanding of DevOps principles and CI/CD tooling.

  • Experience with infrastructure-as-code Docker and Kubernetes.

Leadership Experience

  • 5 years in leadership positions leading cross-functional globally distributed teams and initiatives

  • Able to inspire large technical teams and stakeholders with a compelling vision and long-term strategy connecting ML initiatives to business outcomes

  • Ability to lead influence and execute paired with strong stakeholder management 

  • History of driving organizational change and adoption of new technologies

Industry Knowledge

  • Understanding of ML challenges within global organizations operating multiple subsidiaries

  • Expertise in recent advancements in AI particularly LLMs RAG and associated frameworks is a strong plus.


Additional Information :

Here at Glovo we thrive on diversity we believe it enhances our teams products and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds all genders racial/diverse backgrounds abilities ages sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g. she/her/hers he/him/his they/them/theirs etc).

So ready to take the wheel and make this the ride of your life

Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website!


Remote Work :

No


Employment Type :

Full-time

We are looking for a Director Machine Learning to lead our ML Platform domain within the Data & Platform tribe. The position will be based in our Barcelona hub and will be responsible for defining a compelling vision shaping the strategy and driving the execution for Delivery Heros unified Machine L...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting

About Company

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As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to del ... View more

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