6 of 6 Permanent Forensic Analysis Jobs in Gloucestershire

innovative leader in AI-driven audio technology, pioneering advancements in digital signal processing (DSP) and generative AI. With a cutting-edge approach to watermarking, forensic analysis, and sound synthesis, this company is shaping the future of audio authenticity and AI-powered content creation. Their rapidly growing team collaborates … in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and … enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio analysis and watermarking techniques to ensure authenticity and attribution. Collaborate with interdisciplinary teams to manage and preprocess large datasets for AI training. More ❯

innovative leader in AI-driven audio technology, pioneering advancements in digital signal processing (DSP) and generative AI. With a cutting-edge approach to watermarking, forensic analysis, and sound synthesis, this company is shaping the future of audio authenticity and AI-powered content creation. Their rapidly growing team collaborates … in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and … enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio analysis and watermarking techniques to ensure authenticity and attribution. Collaborate with interdisciplinary teams to manage and preprocess large datasets for AI training. More ❯

secure network protocols. Penetration Testing & Vulnerability Assessment - Skills in identifying, simulating, and remediating vulnerabilities through tools (e.g., Nessus, Metasploit) and manual testing. Incident Response & Forensic Analysis - Ability to manage and respond to security breaches, perform digital forensics, and mitigate damage through structured incident response processes. Risk Management & Compliance … by applying best practices. Cryptography - Knowledge of encryption algorithms, secure key management, and certificate lifecycle management to protect data integrity and confidentiality. Threat Intelligence & Analysis - Ability to gather, analyse, and interpret data from various threat sources to preempt potential cyber attacks. Security Automation & Scripting - Familiarity with scripting languages (such More ❯

suspicious activity. Analyse and investigate security incidents to determine their impact and root cause. Respond to security incidents, including containment, eradication, and recovery. Perform forensic analysis. Develop trusting relationships with critical third-party security providers. Prepare reports on security incidents and recommend improvements. Develop threat intelligence relevant to the … business. Conduct threat hunting, vulnerability analysis, and penetration testing to identify risks. Continually assess security systems, suggesting appropriate tools and countermeasures. Prepare and maintain security and incident response documentation. Collaborate with management, IT, and other departments to implement security improvements. Participate in security audits and assessments. Stay updated with More ❯

driven products. Key Responsibilities: Architect, build, and maintain efficient, scalable, and reliable data pipelines. Curate, onboard, and document external datasets for internal use. Conduct forensic data analysis and troubleshooting to ensure data quality. Produce high-quality, maintainable code and contribute actively to peer reviews. Collaborate with stakeholders to More ❯

driven products. Key Responsibilities: Architect, build, and maintain efficient, scalable, and reliable data pipelines. Curate, onboard, and document external datasets for internal use. Conduct forensic data analysis and troubleshooting to ensure data quality. Produce high-quality, maintainable code and contribute actively to peer reviews. Collaborate with stakeholders to More ❯