Software Engineer
We are looking for Machine Learning Engineer at Sheffield, UK – 3 days per week Onsite
Role Summary
- Build the knowledge, retrieval, and evaluation layer that allows the AI helpdesk to answer accurately and safely.
Key responsibilities
- Build and maintain data pipelines for IT knowledge articles, SOPs, ticket history, and troubleshooting content.
- Develop RAG pipelines, embeddings, indexing, and retrieval optimization.
- Improve answer quality using chunking, ranking, filtering, and grounding techniques.
- Create evaluation datasets and automated quality tests for accuracy, hallucination, and task completion.
- Support model selection, tuning, and performance benchmarking.
- Work with engineering teams to improve response quality and reduce failure rates.
Required skills
- Strong Python and data engineering skills.
- Run data quality testing, verify LLM results etc
- Experience with vector databases, embeddings, and retrieval systems.
- Experience building ETL/data pipelines for structured and unstructured data.
- Understanding of LLM evaluation, experimentation, and model performance metrics.
- Familiarity with SQL, APIs, and cloud data platforms.
- AWS (preferred), GCP exposure.
Preferred
- Experience with enterprise knowledge systems and ticket datasets.
- Experience with fine-tuning, reranking, or search relevance optimization.