Graduate Machine Learning Engineer

More than 11,200 employees work on the product, from search ranking to fraud detection. Traffic during holiday peaks can reach ten times normal levels, and the platform is built for it.

Overview

Velvetset has an opening for a Graduate Machine Learning Engineer. We're looking for an engineer to build retrieval-augmented generation features on hosted and open-weight language models, with proper evaluation. We are headquartered in Madrid and have been hiring remotely since 2020. Employment is through our payroll partner in the UK. Salary is paid monthly in pounds. Working hours overlap with Central European Time.

In this role you will

• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM.
• Productionize data science prototypes without rewriting everything.
• Fine-tune open-weight models with LoRA when it beats prompting.
• Develop RAG pipelines with embeddings, vector stores (pgvector, Pinecone, Weaviate) and rerankers.
• Document model cards, data sources and known failure modes.

What you need

• BS or MS in computer science, engineering or a related field.
• Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML)
• Experience deploying models as services and monitoring them.
• Knowledge of LLM APIs, prompt design and evaluation methods.
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data.
• Comfortable with SQL and large-scale data processing in Spark or Ray.
• Hands-on experience with PyTorch, TensorFlow or JAX.

Salary: £46,000 - £55,000 per year

Benefits

• Annual learning budget.
• 24 days paid time off.
• Co-working space stipend.

Please send your CV. A cover letter is welcome but not required.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Velvetset S.L..