Senior Machine Learning Engineer - Biotech Start-up - NLP research

AI Engineer – Confidential Biomedical Intelligence Platform (London)

Salary between £90,000 - £130,000 (depending on seniority)

We’re representing a rapidly growing healthtech company headquartered in London with global reach, operating at the cutting edge of biomedical knowledge discovery. Their mission is to transform how researchers and clinicians access, interpret, and act on scientific and clinical data—accelerating breakthroughs in diagnosis, treatment, and drug development.

This organisation has developed a proprietary AI platform that ingests vast volumes of unstructured medical literature, clinical records, and real-world data to surface causal relationships, therapeutic insights, and patient stratification opportunities. They are now expanding their engineering team to scale this capability across new therapeutic areas and geographies.

Role Overview

As an AI Engineer, you’ll be embedded in a cross-functional team of researchers, data scientists, and product designers working to build intelligent systems that extract and reason over biomedical knowledge. You’ll help design and deploy machine learning models that power real-time decision support tools for clinicians, researchers, and life sciences partners.

This is a hands-on role for someone who thrives in ambiguity, enjoys building from first principles, and wants to see their work directly impact healthcare outcomes.

Responsibilities

• Develop and deploy ML/NLP algorithms that extract structured insights from biomedical literature and clinical data
• Build scalable data pipelines and APIs for knowledge graph construction and semantic search
• Collaborate with domain experts to align model outputs with clinical and scientific reasoning
• Participate in agile development cycles focused on rapid iteration and continuous delivery
• Monitor model performance and validate against real-world benchmarks
• Contribute to internal tooling and infrastructure to support experimentation and deployment
• Publish original research and contribute to the broader ML/NLP community

Technical Skills:

• Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD)
• Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn)
• Strong Python skills and familiarity with additional languages (e.g., Java, C++)
• Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus
• Familiarity with cloud platforms (AWS, Azure, GCP) and Linux environments

Bonus Experience:

• Prior work in biomedical NLP, literature mining, or clinical informatics