AI Engineer ML LLM
Client Server
In this AI Engineer role you will own end-to-end AI solutions that power digital products and decision engines for a global reinsurance business. You’ll design and productionise behavioural and sequential AI models, building full ML pipelines from data ingestion to monitoring. You’ll integrate AI capabilities into platforms via APIs, microservices, and event-driven architectures, while exploring Digital Twins and agentic systems. This is a hands-on, impact-focused position with cross-functional collaboration and a clear path to shaping scalable AI-enabled products.
Pay / Benefits- Salary to 80k
- Bonus
- Pension
- Life Assurance
- Medical and Dental Health insurance
- 25 days holiday
- Design, develop and deploy behavioural AI models and agentic decision engines
- Build end-to-end ML pipelines: data processing, feature engineering, training, inference and monitoring
- Incorporate causal inference to assess real-world impact of AI decisions
- Collaborate with software engineers, ML engineers and product teams to integrate AI via APIs, microservices and event-driven architectures
- Contribute to Digital Twins and agentic systems with state modelling and decision processes
- Translate AI research into production-ready systems and digital platforms
- Applied AI Engineer with production ML experience
- Experience with behavioural, sequential or decision-making models (sequence prediction, intent modelling, imitation learning)
- Strong understanding of causal inference and evaluation of AI-driven decisions
- Experience building end-to-end ML pipelines (data processing, feature engineering, training, inference, monitoring)
- Strong engineering skills; experience integrating AI into production platforms via APIs, microservices or event-driven architectures
- Knowledge of agentic systems, Digital Twins, simulation or intelligent automation
- Excellent collaboration, communication and problem-solving skills
- collaboration
- communication
- problem solving
- behavioural models
- sequence prediction
- intent modelling
Reference: WJ-747_31245049 · Posted 08 Nov 2026, 12:31 AM