AI Data Engineer — MLOps & Data Architecture

Roche; Welwyn; On-site; GBP 70,000 - 110,000; Full time

Job summary

Roche–Data Engineer role focusing on building the data backbone for AI initiatives. You will extract, transform, and load data from diverse sources while designing scalable architectures to enable ML models in production.

You will collaborate with data scientists and cross‑functional teams, reinforcing MLOps practices, model registry, and containerized deployments to deliver reliable AI capabilities at scale.

Qualifications

• Substantial experience in data engineering, data architecture or MLOps.
• Fluent in Python or Scala and SQL.
• Hands-on with big-data processing and Apache ecosystem tools.
• Proven MLOps capabilities including model registry and container deployment.
• Experience with vector databases for AI workloads.

Responsibilities

• Run AI proof‑of‑concept builds and deploy to production.
• Perform ETL from diverse internal and external sources.
• Develop scalable data infrastructure with vector databases.
• Collaborate with Data Scientists to operationalise models.
• Monitor pipelines and enforce data governance.

Skills

Data engineering

Data architecture

MLOps

Python/Scala

Big data orchestration (Apache)

Tools

Container orchestration

Vector databases

AWS/GCP/Azure

Job description

Roche–Data Engineer role focusing on building the data backbone for AI initiatives. You will extract, transform, and load data from diverse sources while designing scalable architectures to enable ML models in production.

You will collaborate with data scientists and cross‑functional teams, reinforcing MLOps practices, model registry, and containerized deployments to deliver reliable AI capabilities at scale.