We are looking for a talented

Senior Machine Learning Engineer - 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

.

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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

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~ Ability to work effectively in ambiguous problem spaces with

📌 Machine Learning Engineer, Senior (Madrid)
🏢 Grid Dynamics
📍 Madrid