Senior Platform EngineerDyad

London, England, United Kingdom 27-04-2023


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 into the UK and US markets.

Dyad is an energetic, early-stage startup, currently around twenty employees. Our team is growing as we explore new markets and opportunities. We are passionate about technology and its applications in worthwhile ventures. New joiners will have a significant impact on the direction of the company, as well as our culture.

Our products

Dyad platform: Dyad's products are founded upon our Semantic AI platform, which enables payers and providers to access cutting-edge AI capabilities for their own use cases and applications. Our partners either use the platform APIs directly or work with us to develop applications for their use cases. For more information, please see our Platform page.

Primary care operations: Dyad develops a suite of products for healthcare operations, including:

  • BetterLetter, our AI tool helping practices decrease their admin burden in processing clinical letters. We use this to reduce staff time spent identifying codes to be applied to the record as well as suggesting follow-up tasks and workflow optimisations. BetterLetter helps providers save time, save cost, improve performance under audit and build staffing resilience.
  • Codepilot, our automated coding tool for pay-for-performance incentives programs such as QOF in the NHS or MIPS in the US. We scan EHR data with AI to find incomplete and incorrect clinical coding that represents missed reimbursements and other income uplift opportunities for the practice. Codepilot provides a full practice plan in a task management interface as well as other features including our Priority Recall Guides that assist practices with the recall of their chronic patients with an evidence-based algorithm.

The role

We are looking for a senior platform engineer with a demonstrated track record of building and deploying software platforms at scale to join our Data Science team. This team researches, develops and maintains core AI capabilities for our products, as well as for clients who want to leverage the Dyad platform themselves. As a senior platform engineer, you will report directly to the Head of Data Science.

We are building a service-based platform combining knowledge graphs and machine learning to support the development and rollout of our Semantic AI functionality to clients and to our own products. This role is well-suited to a strong engineer who enjoys working with a variety of disciplines across the business and adapting to evolving technology requirements. You will work closely with data scientists, data engineers, and knowledge engineers. As part of an early-stage startup, you will also have the opportunity to work with the wider team, spanning a range of disciplines and expertise.

This role is located in the UK and requires a minimum of two days a week in our Paddington, London office to collaborate with data science team. Candidates must therefore have the right to work in the UK and be willing to relocate to the UK if necessary. Dyad offers visa sponsorship for strong candidates.

Key responsibilities

  • Support ML experimentation and model training
  • Support the development and maintenance of platform services
  • Maintain and enhance the security and resilience of our API platform
  • Scale the platform infrastructure to handle changing loads
  • Act as the point-of-contact for platform operations in our Data Science team
  • Provide expertise as we work with client companies to build bespoke solutions during Dyad’s growth stage


You must have:

  • Expertise with at least one cloud provider (we mainly use GCP)
  • Demonstrated experience with Git and Github
  • Experience with containers (Docker, Kubernetes, Helm)
  • Experience building and maintaining CI/CD pipelines
  • The ability to communicate complex technical concepts to people of different skillsets and specialities
  • A passion for improving the delivery and efficiency of healthcare

It would be a bonus if you also have:

  • Experience working with data/ML scientists and engineers
  • Experience managing a Kubernetes cluster
  • A belief in infrastructure-as-code (e.g. Terraform)
  • Experience using a service mesh (e.g. Istio)
  • Experience with task orchestration (e.g. Airflow)
  • Ability & expertise in service-based software design
  • Experience working in a highly regulated industry or with sensitive data

Our hiring process

  1. A short video call with one or two members of the Dyad team
  2. A take-home task
  3. Interviews with members of the Data Science team, the Head of Data Science, and our CEO
  4. Offer


  • Competitive Salary
  • Company Pension
  • 25 days of paid annual leave
  • A fun and flexible hybrid working environment
  • Mental health support through Spill
  • A modern, dog-friendly office located in Paddington Basin with free drinks

No agencies please


Applications are now closed