Senior ML Engineer, Retail Media (m/f/d) Cologne Posted on 21.09.2026

Redcare Pharmacy; Deutschland; Remote; EUR 90,000 - 150,000; Full time

Job summary

Redcare Pharmacy is seeking a Senior Machine Learning Engineer to help build our new Retail Media product from the ground up. You will design, develop, and operate production-grade machine learning systems that create relevant advertising experiences for customers and measurable value for brands and retailers.

You will work in a high-impact product team, collaborating with Data & AI colleagues as well as product, engineering, and business stakeholders.

Qualifications

• Production-grade ML systems experience.
• Collaborate with product, engineering and business stakeholders.
• Strong software engineering practices alongside ML expertise.

Responsibilities

• Design, develop, and operate production-grade ML systems for advertising experiences.
• Work with Data & AI colleagues and cross-functional teams (product, engineering, business).
• Lead the full ML lifecycle from problem framing to deployment, monitoring and continuous improvement.

Skills

Machine Learning

Software Engineering

ML lifecycle

Job description

About Redcare Pharmacy:

As Europe’s No.1 e-pharmacy, Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy, collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values, join us and begin your #Redcareer today.

About the role:

As a Senior Machine Learning Engineer, you will help build our new Retail Media product from the ground up. You will design, develop, and operate production-grade machine learning systems that create relevant advertising experiences for customers and measurable value for brands and retailers.
You will work in a high-impact product team, working with Data & AI colleagues as well as collaborating closely with product, engineering, and business stakeholders. Your work will cover the full ML lifecycle - from problem framing and data understanding to model development, deployment, monitoring, and continuous improvement.
This role is suited for someone who combines strong machine learning expertise with solid software engineering practices and enjoys turning ambiguous product opportunities into reliable, scalable systems.