Hybrid Data Engineer: ML Pipelines (Python PyTorch GCS/S3)

Data Freelance Hub; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading data consultancy is seeking an experienced Data Engineer for a 6-month contract in Central London. The role involves designing and managing cloud data pipelines and requires strong skills in Python and cloud object storage (GCS/S3), along with practical experience in PyTorch. Ideal candidates will have a strong commercial background in data engineering and an interest in ML workflows. This position is based in Central London, with an agile working pattern of 2 to 3 days in-office, offering £750 per day.

Qualifications

• Strong commercial experience as a Data Engineer.
• Hands-on experience with cloud object storage (GCS preferred, or AWS S3).
• Practical PyTorch experience for training pipelines and dataset handling.

Responsibilities

• Design, build, and maintain scalable cloud data pipelines supporting ML workloads.
• Manage large volumes of unstructured data using cloud object storage.
• Support PyTorch-based data loading and dataset management.

Skills

Python development

Cloud object storage (GCS/S3)

PyTorch

Tools

BigQuery

SQL databases

Job description

A leading data consultancy is seeking an experienced Data Engineer for a 6-month contract in Central London. The role involves designing and managing cloud data pipelines and requires strong skills in Python and cloud object storage (GCS/S3), along with practical experience in PyTorch. Ideal candidates will have a strong commercial background in data engineering and an interest in ML workflows. This position is based in Central London, with an agile working pattern of 2 to 3 days in-office, offering £750 per day.