AI / Machine Learning Engineer

Rothamsted Research, Harpenden, Hertfordshire

AI / Machine Learning Engineer

Salary not available. View on company website.

Rothamsted Research, Harpenden, Hertfordshire

  • Full time
  • Temporary
  • Remote working

Posted today, 16 Nov | Get your application in now to be one of the first to apply.

Closing date: Closing date not specified

job Ref: cb05a4ceeb044f589f880eb3b20886f6

Full Job Description

Are you an AI/ML Engineer passionate about GenAI? Join our KnetMiner team to drive the development of a gene discovery platform that integrates knowledge graphs with large language models (LLMs) to advance genomics and genetics research.

In this role, you will develop GenAI functionalities to enrich knowledge graphs with new relationships and generate scientific narratives from complex biological data. Working directly with the founding team, your contributions will empower researchers worldwide, enabling novel discoveries in genomics through enriched insights and AI-driven scientific reports.

Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, LangChain).
Background in LLMs, natural language processing (NLP), and retrieval-augmented generation.
Familiarity with knowledge graphs, especially Neo4j and Cypher.
Experience with feature and prompt engineering for LLM-based applications., Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.

If you're excited to apply GenAI to bioinformatics and genomics research, we invite you to join us in shaping the future of biological discovery. This is a fixed-term position with flexible working arrangements, including homeworking options. For enquiries, contact keywan.hassani-pak@rothamsted.ac.uk.