Our client is a leading technology business delivering advanced AI solutions into highly complex, mission-critical environments. Their cross-functional product teams blend software engineering, machine learning, and deep domain expertise to deliver platforms that enable analysts and operators to work with speed, clarity, and confidence.

This is an opportunity to join at a pivotal stage in growth, working on products that directly support national security and defence outcomes.

The Role

As an AI Engineer, you will design, develop, and deploy innovative machine learning models and algorithmic solutions. You’ll build production-grade AI capabilities that solve hard problems at scale, with a focus on Generative AI and modern NLP/ML workflows.

Responsibilities

• Design and develop ML models and algorithmic solutions for complex, real-world challenges.

• Partner with product managers, engineers, and domain experts to deliver features from concept through to production.

• Engineer solutions with a deep awareness of algorithmic complexity and cost of scale.

• Clearly communicate model choices, assumptions, and trade-offs to technical and non-technical stakeholders.

• Take ownership from experimentation through deployment, monitoring, and optimisation.

• Debug and maintain distributed data pipelines in production.

• Stay up to date with emerging ML/AI research and apply new techniques where valuable.

Skills & Experience

• Master’s/PhD in Computer Science, Machine Learning, NLP, or related field.

• 3+ years applying ML in production environments.

• Hands-on expertise with Generative AI (fine-tuning LLMs, RAG pipelines, agentic workflows).

• Strong Python development skills with frameworks like Hugging Face, spaCy, PyTorch, Scikit-learn.

• Knowledge of Kubernetes and ML model deployment at scale is an advantage.

• Exposure to systems integration (PostgreSQL, Elasticsearch, etc.) desirable.

• Strong communication skills and ability to bridge technical and product impact.