_{09th March, 2026}

Senior Staff ML Engineer | AI/ML  Drug Discovery | London
  
We’re working on a retained search for a Senior Staff Machine Learning Engineer to help build the technical backbone for training foundational models on multi-omics data at scale.
  
This is a rare opportunity to shape state-of-the-art ML systems that can translate cutting-edge research into real-world impact in human health.
In this role, you would:

• Lead end-to-end architecture for flagship ML capabilities across areas such as multimodal biomedical representation learning, foundation models for health, target discovery, biomarker discovery, imaging, and genomics
• Partner closely with research scientists to turn promising prototypes into robust, reproducible, production-grade systems
• Design, train, and scale advanced deep learning models, including transformers, diffusion models, GNNs, and multimodal architectures
• Own critical MLOps, training and inference infrastructure, including monitoring, drift detection, CI/CD, and deployment reliability
• Mentor senior engineers and scientists, helping raise the bar across design, modelling, and technical execution

  
We’re keen to speak with senior candidates who bring:

• 10+ years in software and ML engineering
• Deep hands-on expertise in modern ML, including deep learning, generative models, self-supervised learning, and representation learning
• Strong experience with Python and frameworks such as PyTorch, TensorFlow, or JAX
• A track record of building and scaling large-scale ML systems
• Experience in genomics, biomedical AI, or drug discovery ML, including areas such as target discovery, biomarker discovery, protein/structure, or variant effect modelling

  
Preferred background includes experience across MLOps, distributed systems, GPU infrastructure, and omics data.
  
This is a senior, high-impact opportunity for someone who wants to work at the intersection of machine learning, computational biology, and therapeutic innovation.
  
KEMIO Consulting is leading this search and would welcome confidential discussions with senior candidates.
Please apply directly or get in touch with Eugene at KEMIO Consulting to discuss the opportunity in more detail.
  
KEMIO Consulting is committed to diversity and inclusivity.

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