MLOps Engineer (Zaragoza, Spain)

Remotestar; Cambourne; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading deep-tech company in the UK is seeking a Mid/Senior Machine Learning Engineer with over 4 years of experience. The ideal candidate will have proven expertise in MLOps and LLMOps, proficiency in cloud platforms like AWS or Azure, and programming skills in Python. Familiarity with generative AI applications and strong communication skills in English are essential. This position offers a hybrid work model with a fixed-term contract until June 2026.

Qualifications

• 4+ years of experience as an ML/LLM engineer in public cloud platforms.
• Proven experience managing machine/deep learning and large language model pipelines.
• Strong understanding of Generative AI architectures and methods.

Skills

Machine Learning Engineer

MLOps

Cloud Platforms (AWS, Azure)

Python Programming

Generative AI

Excellent Communication Skills

Spanish Language

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Azure Machine Learning

Azure Kubernetes Service

Ray

DeepSpeed

Job description

At RemoteStar, we're currently hiring for one of our client based in Spain.

• Fixed-term contract ending in June 2026
• Hybrid (3 days/week onsite)

About client

Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

Required Qualification

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• Mid or Senior:4+ years of experience as an ML/LLM engineer in public cloud platforms.
• Proven experience in MLOps, LLMOps, or related roles, with hands‑on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring.
• Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering.
• Expertise in model parallelism in model training and serving, and data parallelism/hyperparameter tuning.
• Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM.
• Expertise in with generative AI applications and domains, including content creation, data augmentation, and style transfer.
• Strong understanding of Generative AI architectures and methods, such as chunking, vectorization, context‑based retrieval and search, and working with Large Language Models like OpenAI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc.
• Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre.
• Experience with Perfect English, Spanish is a plus.
• Great communication skills and a passion for working collaboratively in an international environment.

Preferred Qualifications

• Experience in training “Mixture-of-Experts