Machine Learning Ops (España)

Coderio | Software Company; Gijón; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A remote-first tech firm is seeking a Senior ML Ops Engineer in Spain to design and manage scalable machine learning architectures. The ideal candidate will have a background in software engineering and experience deploying ML solutions. This role involves collaborating with data and engineering teams to optimize cloud platforms and ensure seamless ML integration. Join a collaborative environment offering growth opportunities and a focus on technical excellence.

Servicios

100% remote

Long-term commitment

Collaborative international team

Clear path to growth

Formación

• 3+ years deploying ML solutions in production.
• Experience with Docker, Git, Bash.
• Knowledge of MLOps best practices.

Responsabilidades

• Design and implement end-to-end ML pipelines and infrastructure.
• Manage and automate the ML lifecycle from experimentation to deployment.
• Collaborate with data and engineering teams to deliver scalable solutions.
• Optimize cloud architectures for cost, performance, and scalability.

Conocimientos

Machine Learning Pipeline Design

Collaboration

Python

SQL

Distributed Data Processing

Docker

Git

FastAPI

Educación

Bachelor’s in Software Engineering, Computer Science, or related field

Herramientas

AWS

GCP

SageMaker Studio

Airflow

CloudFormation

Descripción del empleo

About Us
Coderio designs and delivers scalable digital solutions for global businesses. With a strong technical foundation and a product mindset, our teams lead complex software projects from architecture to execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, building technology that makes a difference.

Learn more: http://coderio.com

The Senior ML Ops Engineer is responsible for designing and building scalable architectures, workflows, and automation to support the end-to-end machine learning lifecycle. This role bridges the gap between data science and engineering, enabling fast, reliable, and maintainable ML solutions that solve complex business problems. The ideal candidate brings strong technical expertise, a collaborative mindset, and a passion for empowering data science teams.

Location Requirement: This position is open only to candidates based in Spain. Applicants from other countries will not be considered.

What To Expect In This Role (Responsibilities)
Design and implement end-to-end ML pipelines and infrastructure.

Manage and automate the ML lifecycle from experimentation to deployment.

Collaborate with data and engineering teams to deliver scalable solutions.

Optimize cloud architectures for cost, performance, and scalability.

Ensure seamless integration of ML systems with business platforms.

Requirements
Bachelor’s in Software Engineering, Computer Science, or related field.

3+ years deploying ML solutions in production.

Proficiency in Python, SQL, and distributed data processing (Spark).

Experience with Docker, Git, Bash, FastAPI, and cloud platforms (AWS/GCP).

Knowledge of ML tools like SageMaker Studio, Airflow, and CloudFormation.

Nice to Have

Experience in payments or financial systems.

Familiarity with MLOps best practices and team enablement.

Proactive and adaptable in fast-paced environments.

Benefits
100% remote

Long-term commitment, with autonomy and impact

Strategic and high-visibility role in a modern engineering culture

Collaborative international team and strong technical leadership

Clear path to growth and leadership within Coderio

Why join Coderio?

At Coderio, we value talent regardless of location. We are a remote-first company, passionate about technology, collaborative work, and fair compensation.

We offer an inclusive, challenging environment with real opportunities for growth.

If you are motivated to build solutions with impact, we are waiting for you.

Apply now.