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Senior rf data scientist

Cambridge
Data scientist
£80,000 - £110,000 a year
Posted: 23h ago
Offer description

Salary: £80,000 - 110,000 per year Requirements: We are looking for candidates with strong Python proficiency for RF data analysis and prototyping, including experience with libraries like NumPy, SciPy, matplotlib, scikit-learn, and PyTorch. You should have a solid understanding of DSP fundamentals, familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR, and a practical understanding of RF hardware chains. Experience analyzing wireless protocols (like Wi-Fi, LTE, or LoRa) and their physical-layer structures is essential. We expect you to be comfortable debugging SDR setups and performing field-based RF data collection. Strong communication skills and the ability to work effectively within an iterative R&D team are a must. Responsibilities: In this hands-on R&D role, you will analyze raw IQ data from SDR platforms to extract, classify, and interpret RF signal features. You will build diagnostic RF analysis tools and design RF data-processing pipelines built around practical hardware constraints. Your job will also involve modeling RF front-end behavior to improve signal integrity and inference accuracy and developing ML and statistical models for RF classification, anomaly detection, and emitter identification. Prototyping real-time or batch-processing systems in Python with potential integration via ZMQ, GNU Radio, or C++ backends is part of the role. Additionally, you will lead RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters. Technologies: AI GNU Hardware PyTorch Python numpy Embedded FPGA Machine Learning Matlab Rust More: We are a fast-growing AI company based near Cambridge, focused on pioneering advancements in UAV/drone detection technologies. This position is ideal for individuals who thrive in fast-paced, iterative prototyping environments, and you will play a key role in prototyping new sensing capabilities and working with SDRs. Your involvement will directly contribute to early-stage hardware-software product development, and the location can be either onsite or hybrid, depending on project needs. If this opportunity excites you, we encourage you to apply! last updated 12 week of 2026

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