{"id":2894023,"url":"https://alion.io/job/nn-group-mlops-engineer-agentic-platform-2","title":"MLOps Engineer - Agentic Platform","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":115,"ghost_share":0,"stale_share":0.357,"repost_share":0.07,"time_to_fill_p50_days":31,"computed_at":"2026-10-21T05:46:15Z"}},"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":164000,"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":"ArgoCD","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":"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}],"status":"live","first_seen_at":"2026-02-23T00:00:00Z","employer_posted_date":"2026-02-23","last_verified_at":"2026-10-22T03:30:12Z","board_verified":true,"closed_at":null,"days_open":241,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":240},"description":"NN Digital Hub is a subsidiary company of Nationale Nederlanden Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units from Nationale Nederlanden Group.\nOur objective is to create, deliver and maintain insurance product management solutions, as service propositions to enable any agent (linked or direct), machine or company to create and sell insurance products in Europe in an automated way and real time.\nWe are looking for an experienced MLOps Engineer to join our team.\nYour role is to build and productize AI capabilities - from RAG pipelines to model serving - and deliver them as scalable, governed, and developer-friendly services.\nYour impact at NN: What you´ll do:\nDefine the reference MLOpsstack 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 with MLflow/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.\nWhat are the tasks that you’ll perform?\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, with clear 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 withall security & compliance basic in ordersin 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 work space 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 in MLOps/SRE or platform engineering with production ML/AI workloads; deep experience with Databricks MLflowis highly preferredand enterprise CI/CD.\n\nDesign/operation of multi-env releases (dev→test→prod) with approvals, secrets, and identity; IaCand 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 like ArgoCD, Crossplane, Istio, Knative, Opensearch, Prometheus, and Grafana.\n\nNice to have:\nExperience operating Kubernetes/Seldon for model serving and migrating toward Databricks Mosaic when appropriate.\n\nFamiliaritywith 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 think that your profile can fit with us and you like who we are, do not hesitate to sign in to our offers. We are waiting for you!\nPlease send your CVs in English language.\nAt NN, we believe our strength lies in embracing the full spectrum of humanity. We recognise each person’s uniqueness and contributions which empowers us to succeed as individuals, as teams, and as a company. Diversity, Equity, and Inclusion is embedded in our culture which is guided by our values - care, clear, commit - and supports us in fostering a workplace where everyone feels welcome, respected, and proud to work.\nBe you. You have our support.","description_format":"text","description_chars":4886,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":true}]},"benefits":["Equity","Flexible schedule","Health insurance","Life insurance"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Hotels & Resorts","Asset Management & Funds","Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-10-20T03:56:05Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.212,"p_room":0.28,"age_days":240,"expected_fill_days":31,"reasons":["conf:8","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/nn-group-mlops-engineer-agentic-platform-2","json_url":"https://alion.io/job/nn-group-mlops-engineer-agentic-platform-2.json","meta":{"generated_at":"2026-10-22T04:22:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4663,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":40416},"rest":"https://alion.io/mcp/rest/get_company?id=40416"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnn-group-mlops-engineer-agentic-platform-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnn-group-mlops-engineer-agentic-platform-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnn-group-mlops-engineer-agentic-platform-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nn-group-mlops-engineer-agentic-platform-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnn-group-mlops-engineer-agentic-platform-2"}]}