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# Machine Learning Engineer

- **Company:** Bizaway
- **Location:** Boadilla del Monte, Spain
- **Salary:** €112,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, Software Safety, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, Machine Learning Operations
- **Published:** September 9, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ 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
 + Ability to work effectively in ambiguous problem spaces with incomplete requirements and limited data
 + Strong written and verbal communication skills
Would be a plus:

 + Experience designing benchmarks, evaluation frameworks, or automated evaluation systems
 + Experience with distributed training or large-scale model inference
 + Experience building reusable ML tooling and internal platforms
 + Experience with cloud platforms and modern MLOps practices
 + Experience working on user-facing AI products at scale
 + Research experience or publications in machine learning or AI-related fields

## Description

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 .
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


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