7 of 7 Signal Processing Jobs in the North West

on to see what Thales has on offer. Role Join us as an Algorithm Engineering Apprentice where you'll have the opportunity to enhance your skills in designing the signal processing and AI algorithms that power the world's leading sonar systems. You will collaborate with a diverse team of experts to create complex systems for our customers. … methods and approaches Effective communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification and validation More ❯

underwater mission systems. The roles will work closely with network and infrastructure specialists to deliver an integrated capability. Responsibilities Design, develop, and deploy containerised workloads for advanced sonar and signal-processing systems. Build and optimise Docker/Podman images and orchestrate deployments via Kubernetes. Develop automation and integration through CI/CD pipelines (GitLab CI, Jenkins). Support … Experience Exposure to naval/sonar mission systems or deployment on constrained platforms. Experience with DevSecOps practices and secure software delivery pipelines. Familiarity with AI/ML or digital signal processing in containerised environments. What do I need before I apply SC Clearance Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers More ❯

integration, and deployment of high-quality, real-time software solutions for the client's UWS domain. The role requires strong proficiency in C++, a sound understanding of mathematics and signal processing, and experience deploying applications to distributed containerised environments (e.g. Docker, Podman, Kubernetes). The successful candidate will demonstrate a commitment to code quality, clean coding principles, and … static analysis practices. Familiarity with UML modelling tools (IBM Rhapsody or similar) is beneficial. Develop and integrate C++ software for real-time distributed systems. Implement mathematical and signal-processing models within software frameworks. Design, deploy, and maintain applications in Linux environments using containerisation technologies. Support model-driven development and handle a mixture of auto-generated and hand-written More ❯

build your personal profile with senior stakeholders and grow a diverse knowledge base in engineering Your skills and experiences: A good understanding in some of the following subject areas; signal processing, target track extraction, object classification algorithms, system and sensor resource optimisation A good understanding of factors that can affect the real-world performance of sensing systems and More ❯

systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating neural More ❯

systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating neural More ❯

systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating neural More ❯