Runware

Senior Machine Learning Engineer

🇬🇧 Remote, Vereinigtes Königreich Remote IT Vollzeit Senior Veröffentlicht Mai 22, 2026
Standort Remote, Vereinigtes Königreich
Arbeitsort Remote
Anstellung Vollzeit
Seniorität Senior
Kategorie IT
IT-Kategorie Data Science & ML
Sprache English
Veröffentlicht 22. Mai 2026
Zuletzt geprüft 30. Mai 2026
JobGrid-Kontext

Rollenübersicht von JobGrid

Senior Machine Learning Engineer at Runware: Remote, Vereinigtes Königreich; Vollzeit; Senior; IT; Data Science & ML. This listing is part of JobGrid's Remote KI-Jobs von öffentlichen Karriereseiten. 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: Remote, Vereinigtes Königreich
  • Role classification: IT, Data Science & ML, Vollzeit, 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