AI Engineer – Pharmaceutical Logistics

Project overview

We are looking for an experienced AI Engineer to conceptualize, develop, and implement AI-powered solutions for optimizing pharmaceutical logistics operations. In this 6-month contract position, you will work hybrid at a London location, developing production-ready AI and automation solutions that improve reliability, transparency, and efficiency in the supply chain.

In this results-oriented role, you will conceptualize and implement AI/ML solutions for pharmaceutical logistics use cases such as demand and inventory forecasting, shipment delay prediction, route and capacity optimization, anomaly detection, and document and data extraction. You will develop production-ready Python services, APIs, and data pipelines with integrations to ERP, WMS, TMS, and cloud data platforms.

Furthermore, you will design LLM-powered tools for document intelligence, intelligent search, structured data extraction, and decision support systems for logistics teams. You will build robust data pipelines that capture, validate, and prepare operational data from multiple sources. An essential aspect is the implementation of monitoring and observability systems for AI models, including accuracy, latency, and business impact measurements.

You will apply appropriate controls for data quality, security, privacy, and validation – especially important in regulated pharmaceutical operations. Your deliverables will include technical documentation, architecture diagrams, deployment runbooks, and comprehensive handover materials.

We are looking for candidates with extensive experience as an AI Engineer, ML Engineer, Data Scientist, or Software Engineer in delivering AI/ML systems. Ideally, you bring expertise in Python development, data pipeline architecture, LLM applications, and cloud platforms.

Project details

• Start: ASAP
• Duration: 6 months
• Remote: hybrid
• Location: London, GB
• Languages: German