Senior Machine Learning Engineer, F5

• MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
• 7+ years of relevant professional experience with a strong track record of developing and deploying complex AI/ML models, especially LLMs, into production environments
• Expert-level programming skills in Python and deep experience with ML frameworks (TensorFlow/PyTorch) and AI/LLM libraries (e.g., Hugging Face Transformers, LangChain)
• Significant, proven experience deploying and managing sophisticated AI/ML models in production
• Deep understanding of machine learning, deep learning, NLP, transformer architectures, and LLM evaluation techniques
• Strong analytical and problem-solving skills applied to architecting and troubleshooting complex AI systems
• Excellent communication skills and ability to articulate complex technical concepts

Desirable

• CalypsoAI is seeking a Senior Machine Learning Engineer, specialising in Artificial Intelligence and Large Language Models (LLMs), to lead the design, development, and deployment of intelligent tools within our pioneering security platform
• This role requires deep technical expertise to architect cutting-edge AI/LLM solutions for AI red-teaming, defense, and securing agentic systems
• You will drive the operationalisation of AI models, influence technical strategy for AI/ML components, and contribute significantly to our platform's core intelligence and security posture
• Mentorship of junior team members is a key aspect of this role
• Lead the design, development, fine-tuning, and evaluation of LLMs and other deep learning models for advanced AI security tasks (e.g., automated red-teaming, vulnerability analysis, adversarial simulation, intelligent defenses)
• Oversee the implementation and deployment of these AI/LLM-powered tools as robust, scalable, and production-ready features within CalypsoAI's security platform
• Design and own end-to-end ML pipelines optimised for AI/LLM workflows, ensuring robustness, scalability, and maintainability (MLOps for AI)
• Collaborate closely with AI Researchers to guide the transition of novel AI/LLM solutions and security techniques from research into production-grade solutions
• Provide technical leadership in integrating complex AI/LLM components seamlessly into our products, working closely with Software Engineers
• Drive efforts to optimise AI/LLM models for inference speed, cost, efficiency, and resource utilisation
• Establish best practices for monitoring model performance, safety, alignment, and security vulnerabilities in production
• Champion and enforce software engineering best practices within the AI/LLM development lifecycle
• Mentor junior engineers and scientists on the team, fostering technical growth
• Contribute to strategic planning and roadmap definition for AI/ML components of the platform