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

Advanced Specialist, Technical Architect
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- Jornada completa
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- Oficina
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- Seguro médico privado
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- Doctorado
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AI Engineer
Once For All - Nalanda —Madrid, Madrid provincia
- De 40.000 € a 65.000 € al año
- Trabajo híbrido
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8d
Senior Site Reliability Engineer
Prima —En remoto
- De 55.000 € a 85.000 € al año
- Teletrabajo
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- Teletrabajo opcional
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Robotics Senior 3D Perception & Computer Vision Engineer
ABB Robotics Ibérica, S.A.U. —Sant Quirze del Vallès, Barcelona provincia
- Jornada completa
- Informática
- C++
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Solicitud rápida
7d
Lead AI Engineer
InteractiveAI —Madrid, Madrid provincia
- De 110.000 € a 130.000 € al año
- Jornada completa
- Azure
- Máster
- AWS
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Solicitud rápida
AI/ML Computational Scientist
Accenture —Valencia, Valencia provincia
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- Doctorado
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Tripledot Studios —Barcelona, Barcelona provincia
- Teletrabajo
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AI Engineer
Sanofi —Barcelona, Barcelona provincia
- De 43.600 € a 65.400 € al año
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Siemens Energy —Barcelona, Barcelona provincia
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Carrefour —Madrid, Madrid provincia
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Lead Data Scientist - BCN/MAD/Munich
ailylabs —Barcelona, Barcelona provincia
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Senior AI/ML Engineer
CONVOTIS Iberia —Alicante, Alicante provincia
- Trabajo híbrido
- Inglés
- Oficina
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Solicitud rápida
7d

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Advanced Specialist, Technical Architect

Pearson -
Pol, Lugo provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Azure
Derecho
Inglés
Google Cloud Platform
Máster
AWS
Machine learning
Escalabilidad
Cloud
Requisitos comerciales
Inteligencia artificial
Liderazgo
Python

Descripción completa del empleo

ROLE: Advanced Specialist, AI Architect

Location: Spain (Remote) or Poland (Remote)

Role Overview

The Advanced Specialist, AI Architect will be responsible for helping define and drive the strategy, design, and delivery of AI-powered solutions that support Pearson's business and product objectives. This role sits at the intersection of software architecture, artificial intelligence, and emerging technologies, ensuring scalable, secure, and responsible AI systems are designed and implemented across the organization.

The AI Architect will act as a technical leader and trusted advisor, working closely with engineering, product, and business stakeholders to shape the AI architecture roadmap, evaluate emerging technologies, and guide the adoption of AI capabilities across multiple products and platforms.

Key Responsibilities

Collaborate with senior business and technology stakeholders to define MVP scopes and design AI solutions aligned with enterprise architecture strategy.
Define architectural patterns, standards, and best practices for AI and Generative AI applications, ensuring scalability, security, and maintainability.
Lead the design and implementation of AI-powered systems, including LLM-based applications, AI agents, retrieval-augmented generation (RAG), and machine learning solutions.
Evaluate and recommend AI technologies, frameworks, and platforms, balancing innovation with business value and operational excellence.
Provide technical leadership and architectural guidance to software engineers, AI engineers, and cross-functional teams.
Facilitate collaboration across multidisciplinary teams, translating complex business requirements into scalable AI solutions.
Establish governance practices for responsible AI development, including security, privacy, monitoring, and model lifecycle management.
Support experimentation, prototyping, and proof-of-concept initiatives to validate emerging AI capabilities and accelerate innovation.

Required Qualifications & Skills

Significant experience in software architecture, AI engineering, machine learning, or related technical leadership roles.
Strong understanding of modern AI architectures, including Large Language Models (LLMs), AI agents, RAG frameworks, vector databases, and model orchestration platforms.
Experience designing and deploying AI solutions in cloud environments, preferably Google Cloud Platform (GCP), AWS, or Azure.
Proficiency in Python and experience working with modern AI frameworks and tooling.
Experience integrating AI capabilities into enterprise-scale applications and platforms.
Understanding of MLOps, model deployment, monitoring, and AI lifecycle management practices.
Experience leading technical initiatives and mentoring engineers.
Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications

Experience with Generative AI product development and production deployments.
Knowledge of responsible AI, governance, security, and compliance considerations.
Experience evaluating and adopting emerging AI technologies in enterprise environments.
Familiarity with educational technology, learning platforms, or digital product ecosystems.

#LI-MG1

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [email protected].

Job: Architecture

Job Family: TECHNOLOGY

Organization: English Language Learning

Schedule: FULL_TIME

Workplace Type: Hybrid

Req ID: 20491

#LI-REMOTE

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