Senior ML Engineer (m/f/d) Cologne Posted on 01.09.2026

Redcare Pharmacy; Deutschland; On-site; EUR 110,000 - 140,000; Full time

Job summary

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

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

Qualifications

• Strong ML expertise with production-grade systems.
• End-to-end ML lifecycle experience from data understanding to deployment.
• Ability to collaborate with product, data/AI, engineering and business stakeholders.

Responsibilities

• Design, develop, and operate production-grade ML systems for a new Retail Media product.
• Own the full ML lifecycle from problem framing to monitoring and improvement.
• Turn ambiguous product opportunities into reliable, scalable ML solutions with cross-functional teams.

Skills

Machine Learning

Software Engineering

Production-grade systems

Data & AI collaboration

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.