# Senior Machine Learning Engineer at Talan

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, build and deploy production ML m

- **Company:** Talan (https://jobs.trythestack.co/companies/talan)
- **Location:** Málaga, Spain
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Google Cloud Platform, Vertex AI, Docker, Kubernetes, MLflow, DVC, GitLab CI/CD, Machine Learning Production, Agile/SCRUM, Spanish, English
- **Posted by employer:** 2026-07-02
- **Added to The Stack:** 2026-07-02
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.smartrecruiters.com/Talan/744000135478069-senior-machine-learning-engineer (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-talan

## 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.

## FAQ

- **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.

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