51 to 61 of 61 Signal Processing Jobs in England

Engineer Job Description: We are looking for a modeller to produce models of the seeker RF Radar. The model includes the seeker hardware, digital processing and target environment. The modelling team is responsible for developing the model, producing auto-code, generating seeker performance predictions and interfacing the seeker model … algorithms in the model Aptitude for converting an algorithm into a Simulink model (desirable) Familiarity with Radar and Control Systems (desirable) Familiarity with Digital Signal Processing (desirable) RF experience (desirable) Experience in C (not essential) Technical report writing Model delivery experience ...

client is a fast-growing, well-funded tech start-up developing advanced sensing and monitoring systems using low-power embedded platforms, intelligent signal processing, and secure wireless connectivity. The Role You'll lead the full embedded development lifecycle, from requirements and system architecture throug... LFWQ1_UKTJ ...

technical and project leadership and the leading of a cross-functional team of engineers working on the development of high-performance Graphic Cards, Sensor Processing products and Network Switches. The successful applicant with be happy to embrace a culture of outstanding team work as well as the ability … similar subjects with provable practical design experience, ideally in an aerospace or defence company Working knowledge of serial interfaces i.E. RS485, RS422, MLVDS. Mixed signal knowledge using ADC/DAC, FPGA, SoC based design for high performance signal processing, communications and control. This is a fantastic opportunity ...

edge medical and sensing applications. The successful candidate will possess robust skills in HDL and the AMD Vivado toolchain, with solid experience in digital signal processing. Key Responsibilities: Deliver high-quality FPGA/DSP designs and implementations with minimal supervision Contribute to technical discussions, design reviews, and project planning … particularly AMD (Xilinx) silicon and Zynq SoC devices Proficiency in HDL and the AMD Vivado toolchain for simulation and testing Significant experience in digital signal processing, with knowledge of RF systems as an advantage Ability to translate customer requirements into robust FPGA-based implementations Experience working ...

control, repositories, testing etc). Understanding how to visualise data for academic and industrial reports. Any experience with applied machine learning techniques used for signal processing would be desirable. Similarly, experience working in biotech or pharmacological projects would be of interest. As this is a start ...

models for far-field voice detection, verification, and enhancement across device and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP, and machine learning. Build cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely ...

field voice detection, speaker verification, wake-word/keyword spotting, and audio enhancement. You will contribute to applied innovation across speech and audio signal processing, ASR and NLP, turning research and experimentation into measurable production improvements. You will work closely with engineers, data scientists, product stakeholders and third ...

engineering team in Macclesfield. This is a hands-on role offering full lifecycle ownership-from concept and hardware design through to firmware development and signal processing. The Role Thi... LFWQ1_UKTJ ...

Senior Firmware Engineer | Cambridge | £80-90k DOE My client is looking for an experienced Firmware Engineer to join a small, high-impact signal processing team. You will take ownership of the full embedded firmware stack, from initial investigation through to integration and release, working with a high ...

What you’ll be doing: Designing and refining machine learning models to identify, diagnose, and predict faults in wind turbines Using a combination of signal processing, ML, and reliability-focused approaches on operational data Developing probabilistic models to assess component health and predict remaining useful life Turning complex ...

Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight ...