Senior Machine Learning Engineer
Runware
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
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Job Level
About the role
- 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
Requirements
- Proven experience delivering ML 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 (LoRA, PEFT, adapters, etc.)
- 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 understanding how ML decisions impact infrastructure
- High ownership and comfort operating in a fast-paced startup environment
- Nice to have
- Experience with vLLM or custom inference servers
- Experience with Kubernetes or containerised ML workloads
- Experience working in high-throughput distributed systems
- Background in AI media generation (image, video, audio)
- Experience building internal ML tooling or developer-facing APIs
- Experience with kernels in CUDA/C++
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPyTorchLoRAPEFTdiffusion modelsLLMsmultimodal architecturesGPU optimizationmodel evaluationCUDA
Soft Skills
mentoringsystems thinkinghigh ownershipadaptabilitycommunication