{"id":100326,"url":"https://alion.io/job/nn-group-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":40416,"name":"NN Group","domain":"nn-group.com","url":"https://alion.io/company/fabian-rupprecht-to-leave-nn-group","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":114,"ghost_share":0,"stale_share":0.36,"repost_share":0.07,"time_to_fill_p50_days":31,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":76000,"max_usd":163000,"period":"year","method":"role_seniority_country_cell","sample_n":9},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Crossplane","optional":false},{"name":"Databricks","optional":false},{"name":"Grafana","optional":false},{"name":"Istio","optional":false},{"name":"Knative","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenSearch","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"RAG","optional":false},{"name":"Seldon Core","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-06-22T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-20T21:41:18Z","board_verified":true,"closed_at":null,"days_open":121,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":120},"description":"NN Digital Hub is a subsidiary company of NN Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units.\nSeniorMLOpsEngineer\nAs wescaleour agentic AI strategy, we need to transform Databricks Mosaic AI into a self-service platform that empowers AI engineers across business units. Your role is to build and productize AI capabilities - from RAG pipelines to model serving - and deliver them as scalable, governed, and developer-friendly services.\nThe Data Intelligence Platform is the runtime for models and agentic AI at NN. It runs on DatabricksMLflowand Mosaic, deploying models and agents on Databricks serverless or NN’s Kubernetes (Seldon) where needed. Mosaic Vector Search provides RAG for GenAI; the platform spans Azure and AWS to meet latency and proximity needs. AsSeniorMLOpsEngineer, you will standardizebuild→deploy→serve→monitoracross these topologies and make production operations audit-ready by design.\nYour Impact as SeniorMLOpsEngineer: What are you going to do\nDefine the referenceMLOpsstack for the Agentic Platform: CI/CD patterns and environment promotion with approvals; serving topologies (Databricks serverless vs Kubernetes/Seldon) with decision records; evaluation & drift monitoring withMLflow/Mosaic; and SLO-based run operations. Integrate Unity Catalog lineage/policies into pipelines so teams meet governance requirements without friction and support the Run expansion.\nKey responsibilities include:\nOwn CI/CD standards and environment promotion for models/agents: pipelines, approvals, artifact provenance, immutable releases, and rollback/canary patterns.\n\nStandardize serving topologies: Databricks serverless vs Kubernetes/Seldon, withclear decision records, SLOs (latency/reliability), and cost/performance guardrails.\n\nImplement evaluation and monitoring:MLflow-based offline/online evaluation, drift/quality checks, and end-to-end telemetry dashboards for model/agent behavior and costs with all security & compliance basic in orders in mind\n\nIntegrate governance-by-design: enforce Unity Catalog lineage/policies and capture approvals and evidence in pipelines to support audits and marketplace readiness.\n\nOperate the Agentic Platform to SLOs: incident response/on-call, capacity planning, cost optimization, post-mortems, and continuous improvement of golden paths.\n\nWhat do we offer?\nAs part of our Employee Experience, we offer you a range of competitive benefits that are available to you in order to improve the physical, mental, and professional wellbeing of our workers. Among the benefits are:\nWe work with a hybrid model\n\nStarting financial aid so you can equip your workspace at home\n\nAllowance and telework subventions\n\nFlexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time\n\nWe hire a life insurance and a pension plan for all our employees\n\nWe establish objectives bonus as a performance reward\n\nYou can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes.\n\nGet to know our flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings…\n\nWe care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees.\n\nWe care about your wellbeing. We have a Wellness Program available.\n\nWe are digital and we love technology. Also, every team works under agile methodology.\n\nWho you are:\n5+ years inMLOps/SRE or platform engineering with production ML/AI workloads; deep experience with DatabricksMLflowis highly preferredand enterprise CI/CD.\n\nDesign/operation of multi-env releases (dev→test→prod) with approvals, secrets, and identity;IaC(Terraform/CrossPlane)and cloud networking on Azure and/or AWS.\n\nHands-on with evaluation/monitoring for models/agents; comfort with SLOs, incident response, and capacity/cost management.\n\nFamiliarity with tools likeArgoCD,Crossplane, Istio,Knative,Opensearch, Prometheus, and Grafana.\n\nOptional qualifications:\nExperience operating Kubernetes/Seldon for model serving and migrating toward Databricks Mosaic whenappropriate.\n\nFamiliarity with agentic AI evaluation patterns (task success, tool reliability) and RAG observability (Vector Search health).\n\nExperience in multi-cloud operations and cross-region latency management.\n\nWorking knowledge of Unity Catalog lineage/policies and how they integrate with delivery pipelines and catalogs; ability to produce audit-ready evidence.\n\nIf you are a passionate and experienced Senior MLOps Engineer looking for an exciting opportunity to work in a dynamic and challenging environment, we encourage you to apply for this position. We are waiting for you!\nPlease send your CVs in English language.\nIn Nationale-Nederlanden we are committed with diversity. We are proud to be an inclusive organization and we offer equal opportunities, regardless of race, cultural background, gender, gender identity, religion, national origin, age, disability, marital status, and sexual orientation. 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