Runware

Senior Machine Learning Engineer

🇬🇧 Remoto, Reino Unido Remoto Tecnología Jornada completa Senior Publicado May 22, 2026
Ubicación Remoto, Reino Unido
Modalidad Remoto
Contrato Jornada completa
Seniority Senior
Categoría Tecnología
Categoría IT Data Science y ML
Idioma English
Publicado 22 de mayo de 2026
Última verificación 30 de mayo de 2026
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Resumen del puesto por JobGrid

Senior Machine Learning Engineer at Runware: Remoto, Reino Unido; Jornada completa; Senior; Tecnología; Data Science y ML. This listing is part of JobGrid's Empleos remotos de IA en páginas de empresas. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Remoto, Reino Unido
  • Role classification: Tecnología, Data Science y ML, Jornada completa, Senior
  • Source freshness: checked by JobGrid on 2026-05-30.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

Join Runware as a Senior Machine Learning Engineer and be at the forefront of developing innovative AI solutions across various media modalities including text, image, video, 3D, and audio. We're building a powerful AI media creation platform designed to revolutionize how content is generated.

As a Senior Machine Learning Engineer, you’ll take the lead on critical projects, guiding the end-to-end lifecycle from research and experimentation to production deployment and performance monitoring. Your work will help shape the capabilities of our platform and enhance the experiences of users who rely on our cutting-edge AI technologies.

What You'll Be Doing

    • Integrate open-source and third-party models into our inference platform
    • Lead fine-tuning initiatives (LoRA, adapters, PEFT, domain adaptation)
    • Optimise inference workloads for latency, batching, memory efficiency, and throughput
    • Benchmark model quality vs cost vs performance across modalities
    • Improve inference startup times and stability under high load
    • Build evaluation frameworks and internal tooling for model validation
    • Work closely with Infrastructure and Backend teams on scalable serving systems
    • Monitor production performance and drive continuous optimisation
    • Mentor engineers and help raise the ML engineering bar across the team