Senior Principal AI/ML Engineer

Role Summary

Senior Principal AI/ML Engineer at GSK, based in the UK or USA with a data-driven R&D focus. The role involves applying AI/ML and data engineering to generate insights, enable analytics, gain efficiencies and automation within an award-winning AI/ML team.

Responsibilities

• Design and develop Generative AI applications (RAG-based) and agent-based solutions; fine-tune LLMs and prepare training data from internal sources; evaluate use-case specific LLMs.
• Lead AI/ML engineering efforts including NLP/NER/RE, document and text classification, and model evaluation; analyze trade-offs between models and LLMs for NLP tasks; work on relationship extraction and other domain-specific tasks.
• Design and implement data pipelines for model training and inference; build scalable data processing systems; optimize data workflows and storage; implement robust ETL processes; evaluate and integrate new technologies and models.
• Provide cross-team collaboration, identify innovations, architect solutions, and offer leadership and technical direction to business units and partners.

Qualifications

• Required: Bachelor's degree in computer science.
• Required: Significant experience in AI/ML and Python; strong Python programming for production-grade applications.
• Required: Generative AI experience covering RAG, vectorisation/indexing, retrieval, prompting, function calling; familiarity with OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa.
• Required: Hands-on experience training and evaluating BERT-like models in NLP or classification tasks; data engineering experience with large datasets; experience with ML tools (TensorFlow, PyTorch); experience with Azure cloud (AKS, Azure AI, ADF, Document Intelligence).
• Required: Excellent problem-solving and software engineering practices; excellent communication skills.

Preferred Qualifications

• Master's or PhD in Computer Science.
• Experience with multi-agent systems and multimodal LLMs; experience training, evaluating and hosting open-source LLMs.
• Some experience with MLOps; full-stack development; UI technologies (e.g., React); building search applications (Azure Search, Sinequa, Elastic, Lucene-based); familiarity with Docker and Kubernetes.

Education

• Bachelor's degree in computer science (required).
• Master's or PhD in Computer Science (preferred).

Additional Requirements

• Closing Date for Applications: Wednesday 29th October 2025 (COB).