Senior Machine Learning Engineer (LLM) at MULTIVERSE COMPUTING

About the role

Responsibilities:
- Research, design and implement techniques to compress and optimise large language models (LLMs), leveraging quantum-inspired/tensor-network methods.
- Train, fine-tune and benchmark LLMs for production use, improving accuracy, efficiency and robustness.
- Build LLM-based applications (RAG, AI agents) and integrate models into product pipelines and client solutions.
- Design and deliver custom deep learning models for client projects across NLP and computer vision when needed.
- Maintain experiment reproducibility, documentation and performance evaluations; collaborate with engineering to productionise models (Docker, AWS/GPU infra).
- Mentor junior ML engineers and share best practices in model development and evaluation.

Requirements:
- Degree in CS, ML, physics, maths or related field and ~5+ years hands-on experience training or fine-tuning deep learning models.
- Strong proficiency in Python, PyTorch and transformer ecosystems (HuggingFace); experience with MLOps and model deployment tooling.
- Practical knowledge of GPU architectures, profiling and cost-aware training; familiarity with cloud GPU environments (AWS/GCP) and containers.
- Experience with model compression, tensor networks or quantum-inspired methods is highly desirable.
- Excellent experimental rigor, problem-solving skills and ability to communicate technical results to cross-functional teams.

Responsibilities

You will design and develop techniques to compress Large Language Models using quantum-inspired technologies and build LLM-based applications like RAG and AI agents. Additionally, you will conduct performance evaluations, fine-tune models for efficiency, and mentor junior team members in technical growth.

Requirements

Candidates must hold a degree in a relevant field and possess at least 5 years of hands-on experience in training or fine-tuning deep learning models. Proficiency in Python, transformer libraries, and a strong understanding of GPU architectures and cloud environments are required.

Key skills

• Machine Learning — in 263 other listings on The Stack
• Large Language Models — in 37 other listings on The Stack
• Python — in 1070 other listings on The Stack
• PyTorch — in 79 other listings on The Stack
• HuggingFace Transformers — not in any other listing on The Stack
• Deep Learning — in 45 other listings on The Stack
• Tensor Networks — in 2 other listings on The Stack
• GPU Architectures — not in any other listing on The Stack
• Cloud Computing
• AWS
• Docker
• RAG
• AI Agents
• Computer Vision
• NLP
• Quantum Computing

On The Stack (as of 2026-10-22)

• MULTIVERSE COMPUTING has 5 other listings on The Stack, 5 of them marked as offering visa sponsorship.
• 70 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.
• 20 visa-sponsored machine learning engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about MULTIVERSE COMPUTING

Is this Senior Machine Learning Engineer (LLM) role still open?

It was posted on 2026-10-19 and is listed as active on The Stack. Confirm on MULTIVERSE COMPUTING's application page before applying.

Does MULTIVERSE COMPUTING offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on MULTIVERSE COMPUTING's site.

Where is this role located?

The listing gives the location as Spain. It is marked on-site.

What skills does this role ask for?

The listing names: Machine Learning, Large Language Models, Python, PyTorch, HuggingFace Transformers, Deep Learning, Tensor Networks, GPU Architectures, Cloud Computing, AWS, Docker, RAG, AI Agents, Computer Vision, NLP, Quantum Computing.