ML Data Engineer at Recraft

✨ The Stack take on this Recraft job

• 🏢 This is Recraft's only job here right now
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
• 💡 No salary shown. Ask Recraft if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Design, build and maintain high-throughput data ingestion pipelines for large-scale image (and occasional text/HTML) datasets.
- Own end-to-end pipeline stages: raw collection → quality/beauty/relevance filtering → deduplication/validation → train-ready artifacts.
- Operate and improve Kubernetes-based distributed data jobs (retries, monitoring, scaling, automation).
- Manage S3-style object storage layout, lifecycle, throughput and cost trade-offs.
- Implement observability around pipelines (progress, health metrics, alerts) to speed iteration and debugging.
- Partner closely with ML engineers to align datasets with training needs and experimentation cadence.

Requirements:
- Strong Python skills with clean, production-ready code practices.
- Hands-on Kubernetes experience for batch/distributed processing and containerized workloads.
- Proven experience handling unstructured image data at scale: loading, filtering, transforming.
- Experience building reliable data ingestion/parsing tools and handling real-world failure cases.
- Comfortable working with object storage (S3) and moving large volumes of data efficiently.
- Detail-oriented ownership mindset and pragmatic approach to reliability and performance.
- English proficiency (B2+).
- Nice-to-have: familiarity with ML training workflows (PyTorch) and dataset considerations for model quality.

Responsibilities

Design and operate high-throughput data ingestion and preprocessing pipelines for large-scale unstructured image datasets on Kubernetes. Collaborate with ML engineers to optimize data flows and ensure training artifacts are reliable and repeatable.

Requirements

Requires strong Python fundamentals and hands-on experience with Kubernetes and S3 object storage for handling large-scale image data. Candidates must be proficient in English (B2+) and have a proven track record of building reliable data parsing tools.

Key skills

• Python — in 1200 other listings on The Stack
• Kubernetes — in 585 other listings on The Stack
• Unstructured Data Processing — in 1 other listing on The Stack
• S3 Object Storage — not in any other listing on The Stack
• Data Ingestion Pipelines — in 1 other listing on The Stack
• Distributed Processing — in 4 other listings on The Stack
• Docker — in 464 other listings on The Stack
• CI/CD — in 630 other listings on The Stack
• PyTorch
• Image Quality Scoring
• Data Validation
• Infrastructure Automation

On The Stack (as of 2026-11-05)

• This is Recraft's only listing on The Stack.
• 214 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
• 47 visa-sponsored data engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Recraft

Is this ML Data Engineer role still open?

It was posted on 2026-06-05. Listings more than 30 days old may no longer be active, so check Recraft's site before applying.

Does Recraft offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Recraft's site.

Where is this role located?

The listing gives the location as London, United Kingdom. It is marked on-site.

What skills does this role ask for?

The listing names: Python, Kubernetes, Unstructured Data Processing, S3 Object Storage, Data Ingestion Pipelines, Distributed Processing, Docker, CI/CD, PyTorch, Image Quality Scoring, Data Validation, Infrastructure Automation.