Job Description Is it a bird? Is it a plane? It’s not Superman. It could be a drone though - but is it friend or foe? This is a rare chance to deepen your MLOps and data engineering skills while working on bleeding-edge tech that has real-world consequences. The last two people we placed here have both been promoted. You’ll also get hybrid working, and if you’re in the office late, dinner and an Uber home are on them. Alongside ML Engineers, Hardware Engineers, and Drone Pilots, you’ll build sensor fusion systems trusted globally by governments and critical infrastructure. You’ll tackle data challenges that span detection accuracy, sensor benchmarking, annotation quality, and real-time validation. The problem space evolves faster than the hardware it's built on. You’ll work across the full data lifecycle - from managing pipelines that pull in multi-sensor data (RF, radar, GPS, optical), to building tools that annotate, benchmark, and assess that data for use in critical AI models. You’ll sit at the intersection of sensors, simulation, and code - helping ensure the AI systems don’t just work in theory, but in unpredictable, complex environments. Key tools in your stack will include a physics-based simulator (C++/Python), CI/CD and MLOps workflows (ClearML or similar), and automated annotation and benchmarking frameworks. You'll also collaborate with pilots and field engineers to gather real-world sensor data - occasionally putting on the drone pilot hat yourself. This role mixes engineering with responsibility. The data you manage directly informs how well the systems perform when it matters most. To be considered you need to have: A stable resume Python (Go, C++ or other OOP would be handy but not essential) Have worked at the intersection of the data and physical realm (think hardware products, or other environments with physical / real-world products) A solid grasp of data structures, machine learning, maths, and physics Highly regarded is anything working with robotics, sensing, or autonomous systems Apply through this ad or get in touch with [email protected] or on 0448 808 848.