5 of 5 Signal Processing Jobs in London

Secure Communications Location : Guildford Salary : £65,000 This is an opportunity for an engineer with 3+ years of commercial development experience to work on state of the art image processing, signal processing and network security applications to join an established team of C++ focused engineers working on classified projects. The role: Greenfield development of signal processing, image processing and network security projects (C++) Configuring Linux systems Training and supporting user base of your products Mentoring and leading more junior team members Requirements: Have a strong STEM degree Strong academic background (A's at A-level for example) 3 years+ experience C++ development experience Confidence in Linux systems Developed complex systems If you are interested More ❯

Our mission is to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role As a … Lead Data Scientist, you'll drive the technical direction of our behavioural modelling work. You'll lead the development of telematics features from idea to production, including exploratory analysis, signal design, risk evaluation, and scalable deployment. This is a hands-on leadership role where you'll design solutions, mentor other scientists, influence architecture across systems, and guide decision-making … and initiatives with high technical ambiguity. Ensure that our models and features are observable, tested, and continuously improving. Help shape the team roadmap and longer-term strategy for behavioural signal development. About You MSc or equivalent industry experience in a relevant field (e.g. Computer Science, Engineering, Physics, Statistics). A PhD is welcome but not required. Experience delivering production More ❯

Our mission is to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role As a … learning and improving. Nice to Have Experience working with noisy, high-frequency, or sensor/time-series data (e.g. GPS, accelerometer), and making sense of it. Experience with digital signal processing or sensor physics. Experience with cloud platforms (e.g. AWS) and tooling like Docker, Kubernetes, or orchestration frameworks. Background in insurance, mobile data, or behaviour modelling. What's More ❯

learning background to help build industry-leading speech and language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms … are hiring in the area of speech recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning Familiar with programming languages such as C/C++, Java, Perl or Python. PREFERRED QUALIFICATIONS Experience in building speech recognition and natural language processing systems More ❯

of the ML lifecycle in a highly selective, performance-driven environment. You'll be joining a lean, technically advanced team working on some of the most complex forecasting and signal generation challenges in finance. What You'll Do: Design and implement end-to-end ML workflows: data ingestion, model development, and deployment Automate and optimize large-scale data pipelines … Develop forecasting and signal processing models tailored to macroeconomic data Collaborate closely with investment professionals and data scientists Contribute to the build-out of scalable ML infrastructure What We're Looking For: Proven commercial experience doing hands-on ML, ideally in a fast-paced or startup environment Proven track record working across the full ML lifecycle Strong coding More ❯