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MLOps Engineer for AI Start-up

Remote Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join a European deep-tech leader in quantum and AI as an MLOps Engineer. Design, deploy, and monitor ML/LLM pipelines, scale cloud infrastructure, and collaborate with AI Researchers to enhance model performance. Experience in MLOps/LLM Ops, model/data parallelism, and frameworks like DeepSpeed and FSDP is required.

Key Highlights
Design, deploy, and monitor ML/LLM pipelines
Scale cloud infrastructure using GitOps, CI/CD, Docker, and Kubernetes
Collaborate with AI Researchers to enhance model performance
Technical Skills Required
DeepSpeed FSDP GitOps CI/CD Docker Kubernetes AWS Azure Python RAG LLMs GPT-4 Llama 3 Mistral Azure ML AKS CycleCloud Managed Lustre
Benefits & Perks
Competitive salary
Signing bonus
Retention bonus
Flexible working hours
Relocation package available

Job Description


MLOps Engineer | AI Start-up | fixed-term Contract


Join a European deep-tech leader in quantum and AI.


A well-funded, fast-growing company backed by major global investors with its groundbreaking technology is already transforming AI, compressing large language models by up to 95% and cutting inference costs by 50–80%.

This is your chance to be part of a team often described as a “quantum-AI unicorn in the making.”


This is a Hybrid opportunity working out of Barcelona. It is a fixed-term contract to work until 30th June 2026.


Given your background in tech recruitment, you likely want a version that is "scannable" for high-calibre candidates while retaining the specific technical "must-haves" like DeepSpeed and FSDP.

Here is a condensed, punchy version of the job description:


The Role

  • End-to-End Pipelines: Design, deploy, and monitor ML/LLM pipelines (data acquisition to production).
  • Infrastructure & Automation: Scale cloud infrastructure (AWS/Azure) using GitOps, CI/CD, Docker, and Kubernetes.
  • Optimisation: Collaborate with AI Researchers to enhance model performance, resource utilisation, and truth analysis.
  • Innovation: Stay at the forefront of LLMOps to integrate the latest generative AI advancements.


Requirements

  • Experience: 3+ years in MLOps/LLMOps within public cloud environments (AWS/Azure).
  • ML Scaling: Expertise in model/data parallelism, hyperparameter tuning, and frameworks (DeepSpeed, FSDP, Ray, or Megatron-LM).
  • GenAI Stack: Strong grasp of RAG (chunking, vectorisation), and LLMs (GPT-4, Llama 3, Mistral).
  • Azure Mastery: Hands-on with Azure ML, AKS, CycleCloud, and Managed Lustre.
  • Soft Skills: Fluent English (Spanish is a plus); ability to bridge the gap between technical and non-technical stakeholders.
  • Education: Degree in Computer Science, Engineering, or a related field.



Perks & Benefits:

  • Compensation: Competitive salary, with a signing bonus and a retention bonus at the end of the contract.
  • Flexibility: This is a hybrid role with flexible working hours. A relocation package is available if needed.
  • Culture: We are a fast-scaling company committed to equal pay, diversity, and an inclusive culture. You'll gain international exposure in a multicultural, cutting-edge environment.


Interested? Apply directly through LinkedIn, or send your CV to [email protected]


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