AI/ML Engineer

Our client is seeking an experienced AI/ML Engineer specialising in Artificial Intelligence and Large Language Models to innovate and strengthen their pioneering security platforms. This role focuses on building and deploying intelligent tools using leading AI/LLM technologies for automated red-teaming, vulnerability detection, adversarial attack simulation, and intelligent defence mechanisms. You'll work hands-on to operationalise AI models, contributing to secure and robust model deployments. You'll collaborate closely with AI researchers, software engineers, and product teams to productionise cutting-edge AI solutions for securing and optimising AI-powered systems and processes. AI/ML Model Development & Application•       Research, design, develop, fine-tune, and evaluate LLMs, intelligent agents, and deep learning models for AI security and system optimisation. •       Create advanced tools for automated red-teaming, vulnerability detection, adversarial attack simulation, and intelligent defences. •       Implement and deploy AI/LLM-powered features as robust, scalable, and secure components within the client's security platforms. •       Optimise AI/LLM models for inference speed, cost-efficiency, and resource utilisation in production. MLOps & AI Workflow Pipeline Development•       Develop and maintain pipelines for end-to-end AI/LLM workflows covering data preprocessing, training, fine-tuning, validation, deployment, and monitoring. •       Proactively monitor model performance and behaviour in production, addressing safety, alignment, and security vulnerabilities. •       Apply software engineering best practices to AI/LLM workflows for secure and seamless deployments. Collaborative Development & Innovation•       Partner with cross-functional teams, including researchers and engineers, to productionise cutting-edge AI/LLM techniques and integrate them into the client's products. •       Translate technical advancements into practical solutions aligned with customer needs and business objectives. •       Communicate findings and solutions through documentation and presentations for data-driven decision-making. AI Security & Emerging Research•       Develop tools and strategies to detect and mitigate vulnerabilities such as prompt injection and data poisoning threats. •       Investigate and utilise advancements in Reinforcement Learning from Human Feedback (RLHF) to improve AI model reliability and alignment. •       Continuously stay updated on industry trends and research to integrate state-of-the-art AI/LLM advancements into the platform.