Head of AI

About Dyad

Dyad's mission is to improve the delivery and efficiency of healthcare.

We are building a platform to model and manage the flow of information within healthcare organisations, improving outcomes for patients, payers, and healthcare providers. We believe data handling in current healthcare systems is needlessly complex and disconnected, leading to isolated and inefficient decision making. To showcase how this technology can advance the delivery of healthcare and improve lives, we build and deploy products for healthcare providers and payers across the UK and US markets.

Dyad is an energetic, early-stage startup of around twenty people. Our team is growing as we explore new markets and opportunities. We are passionate about technology and its application to meaningful, real-world problems. New joiners have a significant impact on both the direction of the company and its culture.

Dyad Platform
Dyad’s products are founded on our Semantic AI platform, combining knowledge graphs and generative AI to deliver grounded, explainable intelligence for healthcare workflows.

Primary Care Operations
Dyad develops a suite of products supporting healthcare operations, including:

Better Letter — an AI tool that helps GP practices reduce administrative burden when processing clinical correspondence. Better Letter supports clinical coding, follow-up task identification, and workflow optimisation, helping practices save time and cost, improve audit performance, and build operational resilience.

Dyad is seeking a Head of AI to lead a team that designs and ope rationalises our graph-integrated generative AI architecture.

This is a senior, hands-on technical leadership role within the Applied AI function. The Head of AI is responsible for building and leading a team that builds production systems handling unstructured clinical text, structured knowledge (ontologies and graphs), and generative AI. Dyad has a learning and teaching culture and the candidate for the role should be as comfortable coming up with accessible explanations for stakeholders and sharing knowledge with team members as they are digging into technical questions.
This role spans a number of disciplines within the ML, NLP, and AI disciplines and is not just another LLM-wrapper position. If your experience is solely around using LLMs within the AI space, this role will not be for you; it is important that a candidate for this role to have broad and integrative understanding of the deep technical foundations of language and machine learning, touching on and including everything from mathematical statistics to computational linguistics, machine learning architectures to system design and evaluation, as well as an understanding of the current state of the art in generative systems.

You will bridge NLP pipelines, LLM-based reasoning, and knowledge graph grounding to produce outputs that are accurate, explainable, and suitable for use in regulated healthcare environments. The role combines architectural ownership with day-to-day technical leadership and is critical to scaling our Applied AI delivery.

This position is offered on a hybrid basis from our London office. Note that candidates must be in the UK or planning on an immediate relocation or their application will not be considered.

• Design and own end-to-end AI architectures that integrate:
  • NLP pipelines
  • LLM-based reasoning and orchestration
  • Pipeline evaluations and benchmarking
  • Knowledge graph grounding and validation
• Define how structured semantics constrain, validate, and guide generative outputs.
• Make pragmatic architectural decisions balancing accuracy, performance, explainability, and engineering effort.
• Set…