Senior ML Engineer — Remote-First, Flexible Hours

Runware; United Kingdom; Remote; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Generous paid time off

Meaningful stock options

Remote-first setup

Flexible hours

Family leave

Company retreats

Job summary

Runware is seeking a Senior Machine Learning Engineer to lead end-to-end ML system development across text, image, video, 3D and audio modalities. You’ll drive research to production, ensuring scalable, reliable inference and monitoring for a cutting-edge AI media platform.

You will own model integration, fine-tuning (LoRA/PEFT/adapters), and performance optimization in GPU environments, collaborating with infra and backend teams in a remote-first startup.

Qualifications

• Proven experience delivering ML systems to production environments.
• Strong Python and PyTorch hands-on experience.
• Experience with diffusion models / multimodal architectures.
• Experience fine-tuning large models (LoRA/PEFT/adapters).

Responsibilities

• 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.

Skills

Production ML

Python

PyTorch

Diffusion/Multimodal

LoRA/PEFT

GPU optimization

Model eval/monitor

Debug performance

Systems thinking

Ownership

Tools

Kubernetes

CUDA

Docker

Job description

Runware is seeking a Senior Machine Learning Engineer to lead end-to-end ML system development across text, image, video, 3D and audio modalities. You’ll drive research to production, ensuring scalable, reliable inference and monitoring for a cutting-edge AI media platform.

You will own model integration, fine-tuning (LoRA/PEFT/adapters), and performance optimization in GPU environments, collaborating with infra and backend teams in a remote-first startup.