Matchtech
Fareham, Hampshire
Electronic Systems Engineer / Lead 2 Positions Available: Lead & Engineer Level Join a fast-growing aerospace SME working on cutting-edge autonomous aircraft for defence, logistics, and humanitarian missions. We're expanding our engineering team with two hires across seniority levels to support next-generation UAV platforms. The Role You'll design and develop avionics and embedded electronic systems for fixed-wing autonomous aircraft. Work includes system architecture, PCB/electronics design, testing, and integration across flight-critical systems. Lead-level candidates will also set technical direction and guide engineers. What You'll Work On Avionics & embedded system design for UAV platforms Electronic hardware development (schematics, PCB, component selection) Prototyping, testing, and troubleshooting Support flight tests, system integration & manufacturing Compliance with aerospace/defence standards (DO-160, DO-254, SORA) Cross-functional collaboration with software, mechanical, and systems teams Lead role: technical ownership, roadmap planning, mentoring, supplier engagement What You'll Bring STEM degree Experience in electronics, embedded systems, or avionics PCB design & schematic capture (Altium preferred) Understanding of EMC/EMI, multilayer boards & high-reliability design Practical prototyping skills Bonus: C/C++ for microcontrollers (STM32), Python, UAV/flight test exposure Why Join? Exciting growth phase Real impact on next-gen aerospace systems Mix of hands-on engineering and high-level design Local SME with agility, innovation, and visibility Location: Fareham (on-site with hybrid flexibility) Contract: Permanent, full-time
Electronic Systems Engineer / Lead 2 Positions Available: Lead & Engineer Level Join a fast-growing aerospace SME working on cutting-edge autonomous aircraft for defence, logistics, and humanitarian missions. We're expanding our engineering team with two hires across seniority levels to support next-generation UAV platforms. The Role You'll design and develop avionics and embedded electronic systems for fixed-wing autonomous aircraft. Work includes system architecture, PCB/electronics design, testing, and integration across flight-critical systems. Lead-level candidates will also set technical direction and guide engineers. What You'll Work On Avionics & embedded system design for UAV platforms Electronic hardware development (schematics, PCB, component selection) Prototyping, testing, and troubleshooting Support flight tests, system integration & manufacturing Compliance with aerospace/defence standards (DO-160, DO-254, SORA) Cross-functional collaboration with software, mechanical, and systems teams Lead role: technical ownership, roadmap planning, mentoring, supplier engagement What You'll Bring STEM degree Experience in electronics, embedded systems, or avionics PCB design & schematic capture (Altium preferred) Understanding of EMC/EMI, multilayer boards & high-reliability design Practical prototyping skills Bonus: C/C++ for microcontrollers (STM32), Python, UAV/flight test exposure Why Join? Exciting growth phase Real impact on next-gen aerospace systems Mix of hands-on engineering and high-level design Local SME with agility, innovation, and visibility Location: Fareham (on-site with hybrid flexibility) Contract: Permanent, full-time
Adria Solutions Ltd
Cambridge, Cambridgeshire
Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
