Robotics ML Engineer | Germany

Robotics ML Engineer | Autonomous Systems | Germany (Remote) | 12-Month Contract

Location
:
Germany (Remote)

Contract Type: Freelance/Contract

Duration: 12 months (extension possible)

Start Date
: ASAP

You will join a robotics and autonomous systems programme focused on deploying ML-driven perception and decision-making models onto real-world robotic platforms operating in production environments.

The programme is moving beyond experimentation and PoCs, with a strong emphasis on production-grade ML, edge deployment, and robustness under real-world constraints such as latency, compute limits, and sensor noise.

• Design, train, and iterate on machine learning models for robotic perception, including object detection, segmentation, and tracking
• Deploy and maintain ML models on edge devices operating within robotic or autonomous platforms
• Optimise inference performance to meet latency, throughput, and compute constraints
• Evaluate and improve model performance using real-world sensor data
• Collaborate with autonomy, robotics, and systems teams to integrate ML outputs into downstream decision‑making pipelines
• Support post‑deployment monitoring and continuous model improvement

• Strong hands‑on experience with Python and PyTorch or Tensor Flow
• Proven experience deploying ML models into production environments (beyond notebooks or research prototypes)
• Practical experience applying computer vision or multimodal ML to real-world data
• Solid understanding of ML trade‑offs, including accuracy vs latency, model size, and compute efficiency
• Experience working in environments where ML models interact with physical systems

Python, PyTorch or Tensor Flow, Computer Vision, Edge ML (ONNX / Tensor

RT / OpenVINO), ROS2 (nice to have), LiDAR / depth / IMU (nice to have)

If this sounds like the right opportunity, please apply with an updated CV or contact me directly at m for a confidential discussion.