Senior Machine Learning Engineer

Acceler8 Talent; München; Vor Ort; EUR 99.000 - 121.000; Vollzeit

Benefits dieser Stelle

Pension

Flexible working

Mobile working

Lunch allowance

Bike leasing

Corporate discounts

Company shuttle

Career progression

Zusammenfassung

Acceler8 Talent in Munich is seeking a Senior Machine Learning Engineer to lead the development of autonomous AI systems for defence applications. You will work on deploying ML models onto autonomous UAVs and edge devices, integrating perception, sensor fusion, and edge-optimised DL techniques.

You will collaborate with cross-functional teams, drive MLOps tooling, and contribute to real-world mission-critical deployments, with strong emphasis on edge inference and scalable pipelines within a

Qualifikationen

• Experience building production Machine Learning or Deep Learning systems.
• Strong Python plus experience with C++ or Rust is a bonus.
• Experience across the ML lifecycle, including training, validation, deployment, and optimisation.
• Background in Computer Vision, Foundation Models, Vision-Language Models, sensor fusion, or autonomous systems.
• Experience deploying models into production or resource-constrained edge environments.
• Passion for solving complex engineering challenges with real-world impact.

Aufgaben

• Training and deploying deep learning models for autonomous UAVs and robotic platforms.
• Computer Vision, perception, sensor fusion, and embedded AI.
• Optimising models for edge devices using quantisation, pruning, and distillation.
• Building scalable ML pipelines, training infrastructure, and MLOps tooling.
• Real-world autonomy for mission-critical defence and security applications.
• Collaborating with hardware, autonomy, production, and flight testing teams.

Jobbeschreibung

Senior Machine Learning Engineer - Autonomous AI & Defence Tech

Munich, Germany (Hybird)

Europe's Fastest-Growing Defence AI Unicorn | Autonomous Drones | Edge AI

I'm working with one of Europe's most exciting AI companies, building the next generation of autonomous drones and multi-domain systems used by defence and security organisations across the globe.

Following over $1 billion in funding and a valuation exceeding $8 billion, the business is scaling rapidly and building a brand-new Machine Learning team focused on deploying AI directly onto autonomous UAVs, UGVs, and USVs operating in real-world mission environments.

This is a genuine opportunity to own the full machine learning lifecycle— from data preparation and model training through to optimisation, deployment, MLOps, and continuous improvement on embedded edge devices.

You’ll work on:

• Training and deploying deep learning models for autonomous UAVs and robotic platforms
• Computer Vision, perception, sensor fusion, and embedded AI
• Optimising models for edge devices using quantisation, pruning, and distillation
• Building scalable ML pipelines, training infrastructure, and MLOps tooling
• Real-world autonomy for mission-critical defence and security applications
• Collaborating with hardware, autonomy, production, and flight testing teams

Requirements:

• Experience building production Machine Learning or Deep Learning systems
• Strong Python plus experience with C++ or Rust is a bonus
• Experience across the ML lifecycle, including training, validation, deployment, and optimisation
• Background in Computer Vision, Foundation Models, Vision-Language Models, sensor fusion, or autonomous systems
• Experience deploying models into production or resource-constrained edge environments
• Passion for solving complex engineering challenges with real-world impact

Package:

• Up to €110,000 base salary + pension, flexible working, mobile working, lunch allowance, bike leasing, corporate discounts, company shuttle, and excellent career progression within one of Europe's fastest-growing AI companies.