Job description
Senior ML/AI Engineer - Madrid (Hybrid)
Location: Madrid (Hybrid)
Type: Permanent | Full-time
We're working with a fast-growing European tech consultancy that's building next-generation data and AI solutions for enterprise clients across finance, retail, and SaaS. They're now looking for a Senior ML/AI Engineer with strong experience in Google Cloud Platform (GCP) to lead the design, deployment, and optimization of production-ready AI systems.
This is a hands-on engineering role where you'll own architecture and delivery, helping turn business goals into scalable ML and software solutions that create real impact.
What You'll Do
AI & Software Engineering
- Lead the design, development, and deployment of scalable ML/AI systems on GCP (Vertex AI, BigQuery, Cloud Run, Dataflow).
- Build robust data and model pipelines-from ingestion to serving-using Python, TensorFlow, or PyTorch.
- Engineer and deploy end-to-end production systems integrating ML APIs, backend services, and microservices architectures.
- Apply LLMs, RAG pipelines, and Generative AI frameworks to deliver high-value, real-world applications.
MLOps & Cloud Infrastructure
- Implement best practices in MLOps, including CI/CD, monitoring, and model lifecycle automation with Kubeflow, MLflow, or Vertex AI Pipelines.
- Collaborate with data engineers and software developers to ensure system reliability, scalability, and performance.
- Champion automation and reproducibility-design infrastructure as code (Terraform, Docker, Kubernetes).
- Optimize for latency, throughput, and cost across large-scale deployments.
Business Impact & Collaboration
- Partner with stakeholders to identify new AI opportunities and translate them into deployable technical solutions.
- Define and measure success criteria and KPIs that align with business outcomes.
- Communicate complex concepts to both technical and non-technical audiences.
What We're Looking For
- 5+ years of experience in AI/ML Engineering or Software Development roles.
- 3+ years of hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage).
- Proven track record of building and deploying production-grade ML or AI systems.
- Strong Python skills and proficiency with TensorFlow or PyTorch.
- Solid understanding of MLOps tools and model lifecycle management.
- Experience with LLMs, RAG, or LangChain-based frameworks is a strong plus.
- Strong grasp of software engineering principles, API design, and cloud infrastructure.
- Excellent communication and collaboration skills; fluent in English (Spanish or French a plus).
- Eligible to work in Europe.
Bonus Skills
- Experience with LangGraph, dbt, or data pipeline orchestration tools.
- Previous consulting or client-facing project experience.
- Open-source or community contributions in AI/ML.
Why Join?
🌍 Work with global clients on high-impact AI systems.
☁️ Build cutting-edge solutions using GCP, Vertex AI, TensorFlow, PyTorch, and Kubernetes.
🚀 Join a collaborative culture that values ownership, transparency, and innovation.
💡 Grow your career in a company that invests in continuous learning and real-world application of AI.
