Data Science / ML Engineering (w/m/d)

Harvey Nash Group; Remote; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading recruitment consultancy is looking for a Senior Data Science / ML Engineering professional for a fully remote role. Responsibilities include deploying machine learning models, managing the model lifecycle, and utilizing Kubernetes among other technologies. The project duration is from February 16, 2026, to December 31, 2026. The ideal candidate should have substantial experience in these areas, with a focus on strong Kubernetes understanding, along with familiarity in OpenShift and Airflow. Suitable candidates should apply via freelance.de or directly via email.

Qualifikationen

• Strong experience in deploying machine learning models.
• End-to-end model lifecycle management expertise.
• Experience with deployment and operational management (MLOps).

Aufgaben

• Deploy machine learning models.
• Manage the end-to-end model lifecycle.
• Utilize Kubernetes for orchestration.

Kenntnisse

Kubernetes experience

Machine Learning deployment

OpenShift experience

Workflow management with Airflow or Kubeflow

ML lifecycle management with MLflow

Experience with LLMs

Jobbeschreibung

Project Details

Role: Senior Data Science / ML Engineering (m/f/d)

Seniority: Senior

Project duration: February 16, 2026 - December 31, 2026

Workload: 240 person-days

Location: 100% remote

Project language: English & German (German not mandatory)

Industry: Media

Nearshore: Yes, but not mandatory

Responsibilities

• Deploying machine learning models
• Managing the end-to-end model lifecycle
• OpenShift experience is a plus
• Kubernetes experience is mandatory
• Workflow management using Airflow (or Kubeflow)
• ML lifecycle management with MLflow
• Experience with LLMs and transformer-based models is highly welcome, including deployment and operational management (MLOps). Europe-based freelancers are very welcome to submit their CV via freelance.de or to [e-mail].