Lead and anchor a high-performing ML Engineering team in Luxembourg. Provide technical guidance, foster a collaborative culture, and drive the implementation of modern MLOps best practices. Drive business-driven results with a highly capable team.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
About the Company: Our client is an innovative, fast-growing scale-up building a space equipment.
The Role: Our client is seeking a technically deep Machine Learning Engineering Manager to lead and anchor their high-performing ML Engineering team in Luxembourg. This is a 100% leadership and strategic role (no hands-on coding required). The primary challenge will be serving as a formidable technical sounding board, reviewing complex model architectures, and guiding a highly intelligent, collaborative, and opinionated team of engineers toward building robust, production-ready MLOps pipelines.
Key Responsibilities:
- Technical Guidance: Act as a strong architectural sounding board for the team; review technical designs, training pipelines, and code quality for deep learning models.
- People & Performance Leadership: Foster a healthy, collaborative culture. Challenge ideas constructively, manage performance, and coach engineers on technical excellence.
- Production Scale: Drive the implementation of modern MLOps best practices (CI/CD for ML, experiment tracking, containerized workflows) to deploy models into reliable production pipelines.
- Cross-Functional Collaboration: Partner closely with software, data engineering, and product teams to turn cutting-edge models into commercial software solutions.
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Requirements:
- Experience: 8+ years of experience in Data Science, Machine Learning, or Computer Vision, with a solid track record of leading or mentoring engineering teams (Tech Leads with strong leadership potential are welcome).
- Technical Depth: Deep expertise in deep learning architectures (CNNs, transformers, self-supervised learning) and modern ML frameworks (PyTorch, TensorFlow).
- Infrastructure Knowledge: Solid understanding of modern MLOps practices, cloud platforms (AWS/GCP), and containerization (Docker/Kubernetes).
- Mindset: Strong commercial acumen; the ability to guide a highly capable team toward business-driven results.
- Excellent communication skills in English.
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Location: Luxembourg (Hybrid / Relocation & Visa Support Available)
Salary: €120,000 – €140,000 + Stock Options + Benefits
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