MLOps EngineerLocation: Barcelona (Hybrid)Contract: Fixed-term until June 2026Salary: €55,000 base pro rataBonuses: €3,000 sign-on + €500/month retention bonusRelocation: €2,000 package availableThe opportunityWe're hiring an MLOps Engineer to join a fast-scaling European deep-tech company working at the forefront of AI model efficiency and deployment.This team is solving a very real problem: how to take large, cutting-edge language models and run them reliably, efficiently, and cost-effectively in production. Their technology is already live with major enterprise customers and is reshaping how AI systems are deployed at scale.This is a hands-on engineering role with real ownership. You'll sit close to both research and production, helping turn advanced ML into systems that actually work in the real world.What you'll be working on
Building and operating end-to-end ML and LLM pipelines, from data ingestion and training through to deployment and monitoringDeploying production-grade AI systems for large enterprise customersDesigning robust automation using CI/CD, Git Ops, Docker, and KubernetesMonitoring model performance, drift, latency, and cost, and improving reliability over timeWorking with distributed training and serving setups, including model and data parallelismCollaborating closely with ML researchers, product teams, and Dev Ops engineers to optimise performance and infrastructure usageManaging and scaling cloud infrastructure (primarily Azure,



with some AWS exposure)
Tech you'll be exposed to
Python for ML and backend systemsCloud platforms: Azure (AKS, ML services, Cycle Cloud, Managed Lustre), plus AWSContainerisation and orchestration: Docker, KubernetesAutomation and Dev Ops: CI/CD pipelines, Git OpsDistributed ML tooling: Ray, Deep Speed, FSDP, Megatron-LMLarge language models such as GPT-style models, Llama, Mistral, and similar
What they're looking for
3+ years' experience in MLOps, ML engineering, or LLM-focused rolesStrong experience running ML workloads in public cloud environmentsHands-on background with production ML pipelines and monitoringSolid understanding of distributed training, parallelism, and optimisationComfortable working across infrastructure, ML, and engineering teamsStrong English communication skills;

Spanish is a plusbut not required
Nice to have
Experience with mixture-of-experts modelsLLM observability, inference optimisation, or API managementExposure to hybrid or multi-cloud environmentsReal-time or streaming ML systems
Why this role stands out
Work on AI systems that are already in production with integral customersTackle real infrastructure and scaling challenges, not toy problemsCompetitive salary plus meaningful bonusesHybrid setup in Spain with relocation supportJoin a well-funded, high-growth deep-tech environment with long-term impact

📌 Mlops Engineer - €55.000 A Year (Madrid)
🏢 DeepRec.ai
📍 Madrid