AI Engineer, Data Science

Future Secure AI is a company focused on building innovative AI solutions for global enterprises. As a Senior AI Engineer - Data Science, you will design, build, and deploy machine learning systems that address high-value problems for enterprise clients while mentoring junior data scientists.

Responsibilities:

• Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users
• Analyse complex, large‑scale structured and unstructured datasets to uncover insights and opportunities
• Enhance LLM output quality across diverse use cases, including optimisation of multi‑step reasoning chains
• Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
• Influence long‑term data and AI strategy, including governance, ethical AI, and scalable frameworks
• Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production‑ready solutions
• Mentor and uplift junior data scientists, setting standards for excellence

Requirements:

• A Master's or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline
• Experience from within AI sector, ideally agentic AI
• Strong experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
• Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi-agent frameworks, GPT-based systems)
• Python experience focused on machine learning and NLP. Knowledge of other software languages is highly beneficial
• Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
• Empathy, humility, and a growth mindset—open to feedback and committed to collaboration
• Comfort working in an agile, fast-evolving environment