Senior Machine Learning Engineer

🕒 April 1

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 75%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Runware

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🔌 API

📱 Media

Artificial Intelligence • API • Media

Runware is a flexible generative AI platform that specializes in high-quality media creation for images and videos through an affordable and fast API. It is capable of advanced tasks such as image generation, video inference, upscaling, and background removal, making it an essential tool for developers seeking to enhance their projects with AI technology. Powered by a custom Sonic Inference Engine™ and renewable energy, Runware ensures quick and efficient media generation without requiring complex infrastructure or machine learning expertise.

📋 Description

• Integrate open-source and third-party models into the inference platform • Lead fine-tuning initiatives using LoRA, adapters, PEFT, and domain adaptation • Optimize inference workloads for latency, batching, memory efficiency, and throughput • Benchmark model quality, cost, and performance across media modalities • Improve inference startup times and stability under high load • Build evaluation frameworks and internal tooling for model validation • Collaborate with Infrastructure and Backend teams on scalable serving systems • Monitor production performance and drive continuous optimization • Mentor engineers and raise the ML engineering standard across the team • Guide projects through research, experimentation, production deployment, and performance monitoring • Develop AI solutions across text, image, video, 3D, and audio for Runware’s AI media creation platform

🎯 Requirements

• Deep, hands-on expertise in Python and PyTorch, including quirks and edge cases for ML workloads • Demonstrated experience building ML applications and models, not just running or deploying existing ones • Hands-on experience writing GPU kernels in CUDA/C++, or Triton • Low-level experience with model internals, including diffusion model architectures • Experience with PyTorch compiler (torch.compile) or comparable low-level PyTorch tooling • Practical experience fine-tuning large models as a repeatable service using LoRA, PEFT, or adapters • Real, verifiable project history, such as GitHub repositories, demonstrating personally written work • High ownership and comfort operating in a fast-paced startup environment • Experience optimizing inference workloads in GPU environments • Experience with vLLM or custom inference servers • Experience with diffusion models, LLMs, or multimodal architectures • Experience with Kubernetes, Docker, or containerised ML workloads • Experience building internal ML tooling or developer-facing APIs • Experience in high-throughput distributed systems • Background in AI media generation (image, video, audio)

🏖️ Benefits

• Generous paid time off – vacation, sick days, public holidays • Meaningful stock options – share in the upside you create • Remote-first setup – work from home anywhere we can employ you • Flexible hours – own your schedule outside core collaboration blocks • Family leave – paid maternity, paternity, and caregiver time • Company retreats – twice-yearly gatherings in inspiring locations • Core collaboration hours with flexible scheduling outside those hours