Salary: £60,000 - 60,000 per year Requirements: Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn) Excellent understanding of digital signal processing techniques including FFTs, resampling, modulation, and filtering Hands-on experience working with SDR platforms such as bladeRF, USRP, HackRF, or similar Practical knowledge of RF hardware chains (e.g. antennas, ADCs, filters, mixers, gain stages, LO, AGC) and how these impact signal data Experience building RF signal characterisation and diagnostics tools, e.g. constellation tracking, time-frequency plots, autocorrelation analysis Familiarity with tools such as GNU Radio, SDRangel, SoapySDR, ZMQ Understanding of wireless protocols and physical-layer signal structures (e.g. Wi-Fi, LTE, LoRa) Ability to design machine learning or statistical models for signal classification, anomaly detection or emitter identification MUST be eligible for SC Clearance due to the nature of the work Responsibilities: Analyse complex IQ data from SDR hardware in real-world RF environments Build signal processing pipelines that work within hardware and software constraints Develop tools to visualise and diagnose signal behaviour and system performance Prototype real-time and batch-processing architectures using Python and signal processing libraries Lead field-based data collection and over-the-air experiments using drones and wireless devices Collaborate with a multidisciplinary team to develop SDR-based detection and intelligence solutions Model and mitigate hardware-induced effects to improve signal fidelity and inference outcomes Technologies: GNU Hardware Machine Learning PyTorch Python numpy More: We are a stealth-mode start-up based in Saffron Walden, UK, focused on developing novel UAV/detection systems. Our team, consisting of exceptional Engineers who have achieved success in previous ventures, thrives in a deep tech innovation environment that encourages collaborative problem-solving. We offer the chance to work at the forefront of RF hardware, software-defined radio, and intelligent signal processing while developing real-world RF sensing systems. This role provides a competitive salary of up to £65,000 per annum, with potential for higher compensation for an exceptional candidate, and the opportunity to shape an innovative product at the interface of RF and machine learning. last updated 14 week of 2026