10 of 10 Remote Signal Processing Jobs in London

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 ❯

withstand the most aggressive and determined fraud attacks. Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on … learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image processing techniques. Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc Where you will be: At More ❯

with point-cloud/volumetric/6DoF or geometry compression techniques. Video compression domain background (H.264/AVC, HEVC, VVC, AV1, LCEVC, etc.) or other high-performance media/signal-processing experience (broadcast, streaming, game engines, AR/VR). SIMD/vectorization (SSE/AVX/NEON) and/or GPU compute (CUDA, Metal, Vulkan, DirectCompute) for More ❯

with point-cloud/volumetric/6DoF or geometry compression techniques. Video compression domain background (H.264/AVC, HEVC, VVC, AV1, LCEVC, etc.) or other high-performance media/signal-processing experience (broadcast, streaming, game engines, AR/VR). SIMD/vectorization (SSE/AVX/NEON) and/or GPU compute (CUDA, Metal, Vulkan, DirectCompute) for More ❯

or PhD in Machine Learning, Biomedical Engineering, Computer Science, or a related field. 35+ years of experience applying machine learning to time-series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory More ❯

integrates into the wider product architecture, using modern hardware and working closely with both hardware and embedded software teams. Your role will be instrumental enabling the RF chain, handling signal processing, and pushing the boundaries of whats possible in modern FPGA development. What we need: Expertise in FPGA development using VHDL/Verilog Strong understanding of system-level More ❯

integrates into the broader product architecture, utilizing modern hardware and collaborating closely with both hardware and embedded software teams. Your role will be instrumental - enabling the RF chain, handling signal processing, and pushing the boundaries of what's possible in modern FPGA development. What we need: Expertise in FPGA development using VHDL/Verilog Strong understanding of system More ❯

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutionsfor the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, built on a foundation of inclusion and fairness, meaningful community engagement, and delivering More ❯

experience in several of the following areas: machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, LLM's models, real-time systems, and signal processing. Communication skills. You have excellent verbal and written communication, with the ability to clearly convey complex technical concepts and trade-offs across all levels of the organization and More ❯