

Full Stack Data Engineer - AI - Global Tech £92K
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Full Stack Data Engineer - AI, offering £92K until December 2025, hybrid in London. Key skills include Python, data pipeline development, and dataset wrangling. Experience with machine learning or FAIR/LLM projects is advantageous.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
431.8181818182
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🗓️ - Date discovered
July 9, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #ML (Machine Learning) #JavaScript #Data Pipeline #Automation #Data Quality #AI (Artificial Intelligence) #Datasets #Python #Data Engineering #Data Integrity #PyTorch
Role description
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Full Stack Data Engineer – AI Research | £92K | Contract to Dec 2025 | Hybrid London (3 Days Onsite)
We’re hiring a Full Stack Data Engineer to join an elite AI research team in London. You’ll be hands-on with end-to-end pipeline development—onboarding, filtering and packaging massive datasets (text, image, video) that will power LLM agents used in cutting-edge automation and FAIR research.
This isn’t your average data role—it’s technical, research-focused, and sits right at the intersection of data engineering and software craftsmanship.
What's in it for you?
• Annual Salary up to £92,000 doe
• Length: Through December 2025, with possibility of extension
• Contract Type: Inside IR35 - PAYE - paid via Principle HR on a weekly basis
• Location: 3 days onsite, Central London
What you’ll be doing:
• Build Python-based data pipelines to ingest and filter high-risk datasets
• Clean, transform, validate and repackage data (text/image/video) at scale
• Work closely with data engineers and researchers to mitigate risk in datasets
• Deliver production-grade filtering solutions with minimal overhead
• Participate in daily research discussions—this is an engineering-first role with a research edge
Ideal profile:
• Solid Python engineer with proven experience in data pipelines
• Comfortable across the stack: you can build tools, services, scripts—not just run notebooks
• Skilled in dataset wrangling, filtering, and data quality control
• Exposure to machine learning or FAIR/LLM-style projects is a strong advantage
• Experience with JavaScript or PyTorch is a bonus, but not required
• Able to thrive in a fast-paced, highly collaborative research team
No fluff. No layers. This is a sharp role with full access to the research team. If you’ve got full stack capability and a passion for data integrity at scale—let’s talk.
Apply Now with your CV or LinkedIn profile today. Som | som@principlehr.com