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Senior Machine Learning Engineer

6 months ago
United Kingdom
Full-time
Senior
Machine Learning Engineer
Software Development
C++ Kubernetes LLM Machine Learning Python PyTorch
Apply Now
RUNWARE

RUNWARE

RUNWARE provides an affordable API that enables AI developers to efficiently run image, video, and custom generative AI models without the need for extensive infrastructure or machine learning expertise.

Internet Software & Services
1-10
Founded 2023
View All Jobs 7

Description

  • Integrate open-source and third-party models into the inference platform.
  • Lead fine-tuning initiatives using LoRA, adapters, PEFT, and domain adaptation techniques.
  • Optimize inference workloads for latency, batching, memory efficiency, and throughput.
  • Benchmark model quality, cost, and performance across multiple 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 help raise the ML engineering standards across the team.

Requirements

  • Proven experience delivering machine learning systems to production environments.
  • Strong low-level Python skills and deep hands-on experience with PyTorch.
  • Experience working with diffusion models, LLMs, or multimodal architectures.
  • Practical experience fine-tuning large models using LoRA, PEFT, adapters, or similar methods.
  • Experience optimizing inference workloads in GPU environments.
  • Strong understanding of model evaluation, experimentation, and monitoring.
  • Ability to debug performance, memory, and reliability issues in production.
  • Strong systems thinking and understanding of how ML decisions impact infrastructure.
  • High ownership and comfort operating in a fast-paced startup environment.
  • Experience with vLLM or custom inference servers is preferred.
  • Experience with Kubernetes or containerised ML workloads is preferred.
  • Experience working in high-throughput distributed systems is preferred.
  • Background in AI media generation, including image, video, or audio, is preferred.
  • Experience building internal ML tooling or developer-facing APIs is preferred.
  • Experience with CUDA/C++ kernels is preferred.

Benefits

  • Remote-first setup with the ability to work from home anywhere the company can employ you.
  • Flexible hours outside core collaboration blocks.
  • Generous paid time off, including vacation, sick days, and public holidays.
  • Meaningful stock options.
  • Paid family leave for maternity, paternity, and caregiver time.
  • Company retreats twice a year in inspiring locations.

Interested in this position?

Apply directly on the company website

Apply Now

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