4 months ago

Senior Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead end-to-end ML projects for an AI media creation platform, from research and experimentation to production deployment, monitoring, and optimization, across text, image, video, 3D, and audio modalities.

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key 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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquityParental Leave

Key Requirements

•Proven experience delivering ML systems to production environments.
•Strong, low-level Python skills with deep hands-on experience in PyTorch.
•Experience with diffusion models, LLMs, or multimodal architectures.
•Practical experience fine-tuning large models (LoRA, PEFT, adapters, etc.).
•Experience optimizing inference workloads in GPU environments.

Experience:Information technologyAIMultimediaMachine learning

Education:Bachelor's in Bachelor's Degree

Skills:PythonPyTorchDiffusion modelsLLMsMultimodal architecturesLoRAPEFTAdaptersCUDA

Languages:English

Tech Stack:PythonPyTorchDiffusion modelsLLMsMultimodal architecturesLoRAPEFTAdaptersCUDA

Company Brief

Runware

Industry: Developer Tools

Website

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Runware

4 months ago

Senior Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key 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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquityParental Leave

Key Requirements

•Proven experience delivering ML systems to production environments.
•Strong, low-level Python skills with deep hands-on experience in PyTorch.
•Experience with diffusion models, LLMs, or multimodal architectures.
•Practical experience fine-tuning large models (LoRA, PEFT, adapters, etc.).
•Experience optimizing inference workloads in GPU environments.

Experience:Information technologyAIMultimediaMachine learning

Education:Bachelor's in Bachelor's Degree

Skills:PythonPyTorchDiffusion modelsLLMsMultimodal architecturesLoRAPEFTAdaptersCUDA

Languages:English

Tech Stack:PythonPyTorchDiffusion modelsLLMsMultimodal architecturesLoRAPEFTAdaptersCUDA

Company Brief

Runware

Industry: Developer Tools

Website