17 publicaciones de empleo destacadas en platform engineer (mlops) (¡Están contratando!)

MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Senior Devops Engineer
Monks —Madrid, Madrid provincia
- De guardia
- Informática
- DevOps
- AWS
Solicitud rápida
Senior Product Manager (German Speaking) — AI and Data Solutions
Provectus —En remoto
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Máster
Solicitud rápida
Data Science & AI Training Specialist or AI Skills Lead
eDreams ODIGEO —Madrid, Madrid provincia
- Doctorado
- Informática
- Oficina
Databricks Resident Solutions Architect (RSA) (m/f/*)
Ultra Tendency —En remoto
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
13d
Head of Data and AI
Abion —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Senior Applied Data Scientist - Data Architecture & Feature Engineering
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Azure
- Máster
- SQL
Lead AI Engineer, Business Acceleration
SGS —Madrid, Madrid provincia
- Jornada completa
- Máster
- AWS
- Inteligencia artificial
Solicitud rápida
Senior LLM Engineer
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- Español
- Doctorado
- Informática
Solicitud rápida
Lead Data Architect (DataOps)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Inglés
12d
Senior Director, AI Cloud & Compute Services
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Azure
- DevOps
8d
Databricks Resident Solutions Architect (m/f/*)
Ultra Tendency —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
5d
Principal Cloud Engineer
Plain Concepts —España
- Teletrabajo
- Azure
- DevOps
- Inglés
- Abono gimnasio
Solicitud rápida
Sr. Machine Learning Engineer
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- Máster
AI Architect / Senior AI Engineer
Plain Concepts —España
- Jornada completa
- Teletrabajo
- Español
- Azure
- DevOps
- Seguro dental
- Abono gimnasio
Solicitud rápida
Senior Data Scientist
Docplanner —España
- Jornada completa
- Teletrabajo
- Microsoft Word
- SQL
- Machine learning
- Abono gimnasio
Solicitud rápida
Advanced Specialist, Technical Architect
Pearson —España
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Máster

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MLOps Engineer - Agentic Platform

NN Group -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Beneficios

Parking gratuito
Seguro de vida
Plan de pensiones

Cualificaciones

CI/CD
Azure
Inglés
AWS
Respuesta a incidencias
Unity
Cloud

Descripción completa del empleo

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.

Our 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.

We are looking for an experienced MLOps Engineer to join our team.

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.

Your impact at NN: What you´ll do:

Define the reference MLOps stack 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.

What are the tasks that you’ll perform?

Own CI/CD standards and environment promotion for models/agents: pipelines, approvals, artifact provenance, immutable releases, and rollback/canary patterns.

Standardize serving topologies: Databricks serverless vs Kubernetes/Seldon, with clear decision records, SLOs (latency/reliability), and cost/performance guardrails.

Implement 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

Integrate governance-by-design: enforce Unity Catalog lineage/policies and capture approvals and evidence in pipelines to support audits and marketplace readiness.

Operate the Agentic Platform to SLOs: incident response/on-call, capacity planning, cost optimization, post-mortems, and continuous improvement of golden paths.

What do we offer?

As 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:

We work with a hybrid model
Starting financial aid so you can equip your work space at home
Allowance and telework subventions
Flexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time
We hire a life insurance and a pension plan for all our employees
We establish objectives bonus as a performance reward
You can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes.
Get to know our flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings…
We care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees.
We care about your wellbeing. We have a Wellness Program available.
We are digital and we love technology. Also, every team works under agile methodology.

Who you are?

5+ years in MLOps/SRE or platform engineering with production ML/AI workloads; deep experience with Databricks MLflow is highly preferred and enterprise CI/CD.

Design/operation of multi-env releases (dev test prod) with approvals, secrets, and identity; IaC and cloud networking on Azure and/or AWS.

Hands-on with evaluation/monitoring for models/agents; comfort with SLOs, incident response, and capacity/cost management.

Familiarity with tools like ArgoCD, Crossplane, Istio, Knative, Opensearch, Prometheus, and Grafana.

Nice to have:

Experience operating Kubernetes/Seldon for model serving and migrating toward Databricks Mosaic when appropriate.

Familiarity with agentic AI evaluation patterns (task success, tool reliability) and RAG observability (Vector Search health).

Experience in multi-cloud operations and cross-region latency management.

Working knowledge of Unity Catalog lineage/policies and how they integrate with delivery pipelines and catalogs; ability to produce audit-ready evidence.

If 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!

Please send your CVs in English language.

At 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.

Be you. You have our support.

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platform engineer (mlops) empleos

MLOps Engineer - Agentic Platform

Senior Devops Engineer

Senior Product Manager (German Speaking) — AI and Data Solutions

Data Science & AI Training Specialist or AI Skills Lead

Databricks Resident Solutions Architect (RSA) (m/f/*)

Head of Data and AI

Senior Applied Data Scientist - Data Architecture & Feature Engineering

Lead AI Engineer, Business Acceleration

Senior LLM Engineer

Lead Data Architect (DataOps)

Senior Director, AI Cloud & Compute Services

Databricks Resident Solutions Architect (m/f/*)

Principal Cloud Engineer

Sr. Machine Learning Engineer

AI Architect / Senior AI Engineer

Senior Data Scientist

Advanced Specialist, Technical Architect

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