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Head of Software; ML & Web

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Talent Search PRO
Full Time position
Listed on 2026-02-11
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Software Architect
Job Description & How to Apply Below
Position: Head of Software (ML & Web)
Location: Greater London

What you will be doing:

  • Oversee the
    architecture, development, and delivery of all software components, spanning web applications, backend systems, and Machine Learning (ML) infrastructure.
  • Be a key partner to the heads of Hardware, Design Engineering, and Animal Science,
    ensuring software is seamlessly integrated with physical systems, user experience, and domain expertise.
  • Define, implement, and scale the
    software architecture across web, backend, and ML systems.
  • Maintain strong engineering standards for code quality, security, testing, and deployment.
  • Lead key technical initiatives
    , contributing code and architecture reviews.
  • Drive integration of software with hardware systems pipelines.
  • Build, lead, and mentor
    a multidisciplinary engineering team.
  • Establish effective workflows for development, QA, deployment, and iteration.
  • Foster a collaborative, innovative, and high-performance engineering culture.
  • Partner with People/HR in hiring and scaling the team.
  • Collaborate closely with the heads of Hardware, Design Engineering, and Animal Science to ensure end-to-end product integration.
  • Translate business and research needs into scalable software solutions.
  • Balance speed of delivery with long-term maintainability and scalability.
  • Support leadership in communicating technical vision to investors, partners, and stakeholders.
Experience you will need:
  • 7+ years of software development experience, with at least 3 in a leadership role.
  • Proven expertise in
    web application development (frontend + backend).
  • Hands‑on experience with
    machine learning workflows and/or data‑heavy systems.
  • Strong understanding of
    cloud infrastructure and Dev Ops practices.
  • Experience collaborating with cross‑functional hardware or science‑focused teams.
  • Exceptional communication and leadership skills.
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