Senior ML Engineer — AI Production for Sustainability

Talent-R; Barcelona; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working hours

36-hour weeks in July/August

Private health insurance

Job summary

Talent-R is seeking a Senior ML Engineer to take models into production within its Sustainability AI initiatives. Based in Barcelona with hybrid options (4 office days per month) or fully remote from Spain, you will join a center of excellence of 20+ scientists and engineers.

You will focus on productionising models, building end-to-end ML pipelines, and managing the infra and APIs that power product features. The role emphasizes engineering and deployment rather than model development.

Qualifications

• At least 6 years of experience in ML engineering, including experience from before the generative AI era.

Responsibilities

• Model productionisation: turn data science models into production-grade services, and work with scientists through the handover process.
• ML pipelines: design and maintain end-to-end pipelines that apply MLOps and LLMOps best practices.
• Orchestration: build and operate the infrastructure that supports both batch and real-time workloads.
• Model serving: make models available to applications and downstream processes through REST APIs.
• Monitoring: set up performance monitoring, drift detection and alerting for models in production.
• Infrastructure: manage infrastructure as code, CI/CD pipelines and containerised deployments.
• Engineering standards: help define and maintain the team’s engineering practices.

Skills

Python

ML engineering

Back-end engineering

MLOps

REST APIs

Cloud experience

Tools

Docker

Kubernetes

CI/CD

Infrastructure as code

Observability tools

MLflow

Databases

Azure

Databricks

Job description

Talent-R is seeking a Senior ML Engineer to take models into production within its Sustainability AI initiatives. Based in Barcelona with hybrid options (4 office days per month) or fully remote from Spain, you will join a center of excellence of 20+ scientists and engineers.

You will focus on productionising models, building end-to-end ML pipelines, and managing the infra and APIs that power product features. The role emphasizes engineering and deployment rather than model development.