Senior Machine Learning Engineer at Talan

✨ The Stack take on this Talan job

• 🏢 Talan has 18 jobs here, 17 with visa sponsorship see all
• 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
• 💡 No salary shown. Ask Talan if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Design, build and deploy production ML models and services on Google Cloud Platform (Vertex AI preferred).
- Lead development of scalable ML pipelines for ingestion, preprocessing, training and inference.
- Implement model lifecycle practices using MLflow and DVC (versioning, reproducibility, experiments).
- Containerize models with Docker and deploy/operate them on Kubernetes clusters.
- Collaborate with DevOps and Data Engineering to build CI/CD pipelines (GitLab) and automated deployments.
- Monitor, optimize and improve model performance, reliability and observability in production.
- Contribute to architectural decisions, standards and best practices for MLOps; mentor junior engineers.

Requirements:
- Advanced Python proficiency and strong software engineering practices.
- Proven experience deploying ML models into production environments on GCP (Vertex AI a plus).
- Hands-on experience with Docker and Kubernetes for containerized ML workloads.
- Practical knowledge of ML lifecycle tools (MLflow, DVC) and CI/CD (GitLab CI/CD preferred).
- Experience working in Agile/SCRUM teams and collaborating with cross-functional stakeholders.
- Professional working proficiency in Spanish and English.
- Nice to have: familiarity with R, large-scale data ecosystems and infrastructure-as-code tooling.

Responsibilities

Design, build, and deploy scalable machine learning models and pipelines into production using Google Cloud Platform. Collaborate with DevOps and data engineers to implement model lifecycle management and ensure system reliability.

Requirements

Requires advanced Python proficiency and proven experience deploying ML models on GCP, specifically using Vertex AI, Docker, and Kubernetes. Professional working proficiency in both Spanish and English is mandatory.

Key skills

• Python — in 1200 other listings on The Stack
• Google Cloud Platform — in 53 other listings on The Stack
• Vertex AI — in 8 other listings on The Stack
• Docker — in 464 other listings on The Stack
• Kubernetes — in 585 other listings on The Stack
• MLflow — in 24 other listings on The Stack
• DVC — in 4 other listings on The Stack
• GitLab CI/CD — in 12 other listings on The Stack
• Machine Learning Production
• Agile/SCRUM
• Spanish
• English

On The Stack (as of 2026-11-05)

• Talan has 17 other listings on The Stack, 16 of them marked as offering visa sponsorship.
• 76 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.
• 29 visa-sponsored machine learning engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Talan

Is this Senior Machine Learning Engineer role still open?

It was posted on 2026-07-02. Listings more than 30 days old may no longer be active, so check Talan's site before applying.

Does Talan offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Talan's site.

Where is this role located?

The listing gives the location as Málaga, Spain. It is marked remote.

What skills does this role ask for?

The listing names: Python, Google Cloud Platform, Vertex AI, Docker, Kubernetes, MLflow, DVC, GitLab CI/CD, Machine Learning Production, Agile/SCRUM, Spanish, English.