1 to 9 of 9 Signal Processing Jobs in London

Experience in dealing with high impedance sources, and noise and leakage reduction techniques -Schematic Capture and PCB Design and Circuit Design - ADC/DAC - Signal Processing and conditioning and Signal analysis through exploratory and investigatory R&D -First-off hardware bring-up, debugging, and characterisation - Debugging and … Characterisation of first-off hardware - Biological or Sensor signals - Digital signal processing experience with modulation/demodulation algorithms Please apply or send your CV over to Jessb@vantagetalent.com I look forward to hearing from you more »

developed. Conduct detailed analysis of radar performance, including on occasion, trials data and produce reports for internal and external customers. Design and develop digital signal processing algorithms. Liaise with sub-system suppliers to ensure performance criteria are met. Play a leading role in the development of new radar … overseas is required and is considered a regular feature of this role. Requirements A Masters or Bachelor’s Degree Experience with MATLAB and digital signal processing Working knowledge of Radar or closely related applications (e.g. Sonar, Image Processing, Comms) Proven record of leading analysis and design on more »

duties: Software architectural design using UML and the Enterprise Architect tool. Software Implementation and test in C++ including unit and continuous integration testing. Sonar signal processing algorithm implementation, integration, and optimization Artificial Intelligence algorithm implementation, integration, and optimization Pride in the development of good quality well thought-out … verbal reporting of progress and contributing to sprint planning and retrospectives. Required Experience: Experience in C++ development Experience in multi-threaded design Experience in signal processing and/or AI/ML techniques Experience of UML design techniques Experience knowledge of the full software development lifecycle Experience Machine more »

or computer vision systems in an industrial environment Experience with time-series data and correlation Understanding of multiple Machine Learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, Pattern Recognition etc. Experience with Docker and Google Suite including Google Cloud Platform Experience … with DevOps tools such as experiment tracking, automation, dataset versioning, etc. Excellent data processing capabilities using tools such as Python, Excel, Google Suite About you: You have good interpersonal skills and are prepared to collaborate in a team to refine solutions Natural curiosity to explore unexplored Perseverance and desire more »

product Software languages, C (or C++) is preferable, additional languages considered) Knowledge of one or more of Bash, TCL, or Python. Expertise in Digital Signal Processing (DSP) Work on product developments to optimize and add new functionalities Support the Embedded Software team and the System test team Participate more »

will lead the quants working on various Options strategies for a very profitable desk. The team is focused on alpha generation, options pricing and signal processing, collaborating with the risk management and execution teams. This position offers excellent exposure in an industry renowned firm. Skills Required: Experience as more »

further post-doc research) Excellent knowledge in a range of AI , machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complex technical research concepts to non-tech business stakeholders. HOW TO APPLY Please register your interest by sending more »

within a multi-discipline team Requirements: Multiple years FPGA development experience proficiency with either VHDL or Verilog Experience with RTL Design Experience with Digital Signal Processing/DSP knowledge of 4G/5G is an advantage This is an exciting position for someone who is passionate about keeping more »

further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely technical subjects simply to stakeholders in an effective way. If this role interests you more »