We are looking for a talented Senior Machine Learning Engineer

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- LLM Systems & Evaluation.

This is an opportunity to work on next-generation AI systems, including large language models, retrieval-augmented generation, agents, and AI safety-focused evaluation.

Essential functions:
* Own machine learning projects from problem definition through implementation
* Design and implement evaluation methodologies for AI and machine learning systems
* Create datasets, benchmarks, and metrics to measure model and product performance
* Evaluate and improve LLM-based systems, including RAG applications, agents, safety systems, and end-to-end AI products
* Analyse model behaviour, identify failure modes, and recommend practical improvements
* Build and maintain ML pipelines, tooling, and evaluation infrastructure
* Collaborate with product, engineering, and research teams to translate business goals into measurable ML objectives




* Prototype and iterate rapidly to solve business and product challenges
* Communicate findings, trade-offs, and recommendations to both technical and non-technical stakeholders Qualifications:
* 5+ years of experience in Machine Learning Engineering or a related field.
* Strong understanding of machine learning fundamentals and model evaluation
* Strong Python programming skills and experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX
* Understanding of retrieval-augmented generation (RAG), agentic systems, and LLM safety concepts
* Experience training, fine-tuning, or adapting machine learning models
* Experience working with Large Language Models beyond simple API integration
* Experience evaluating AI systems and translating results into actionable recommendations
* Experience building and maintaining machine learning systems and pipelines xqbhyrx
* Ability to work effectively in ambiguous problem spaces with incomple

📌 Senior Machine Learning Engineer (Madrid)
🏢 JobFlurry
📍 Madrid