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- Tasks: Develop end-to-end data pipelines for massive datasets in AI research.
- Company: Join an elite AI research team at a leading global tech company.
- Benefits: Earn up to £92K, enjoy hybrid work, and weekly pay.
- Why this job: Be part of cutting-edge automation and impactful research in a collaborative environment.
- Qualifications: Solid Python skills, experience with data pipelines, and a passion for data integrity.
- Other info: This role offers direct access to the research team and a fast-paced atmosphere.
The predicted salary is between 66000 - 88000 £ per year.
Full Stack Data Engineer – AI Research | £92K | 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 |
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Full Stack Data Engineer - AI Research - Global Tech £92K employer: Principle HR
Contact Detail:
Principle HR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Data Engineer - AI Research - Global Tech £92K
✨Tip Number 1
Familiarise yourself with the latest trends in AI research and data engineering. Being able to discuss recent advancements or projects during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI and data engineering space. Attend meetups, webinars, or conferences where you can connect with people who work in similar roles. This could lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to showcase your technical skills through practical examples. Be ready to discuss specific projects where you've built data pipelines or worked with large datasets, as this will highlight your hands-on experience.
✨Tip Number 4
Understand the company culture and values of StudySmarter. Tailoring your conversation to align with our mission and demonstrating how you can contribute to our goals will make a strong impression during the interview.
We think you need these skills to ace Full Stack Data Engineer - AI Research - Global Tech £92K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and data pipelines. Include specific projects where you've built tools or services, and mention any exposure to machine learning or FAIR/LLM-style projects.
Craft a Strong Cover Letter: In your cover letter, express your passion for data integrity and your ability to work in a collaborative research environment. Mention how your skills align with the role's requirements and your enthusiasm for contributing to cutting-edge AI research.
Showcase Relevant Projects: If you have relevant projects, either personal or professional, that demonstrate your full stack capabilities and experience with dataset wrangling, include them in your application. This could be in the form of links to GitHub repositories or detailed descriptions in your CV.
Highlight Soft Skills: Since this role involves working closely with researchers and engineers, emphasise your communication and teamwork skills. Provide examples of how you've successfully collaborated in fast-paced environments to achieve project goals.
How to prepare for a job interview at Principle HR
✨Showcase Your Python Skills
As a Full Stack Data Engineer, your proficiency in Python is crucial. Be prepared to discuss specific projects where you've built data pipelines or worked with large datasets. Highlight any challenges you faced and how you overcame them.
✨Demonstrate Your Full Stack Knowledge
This role requires comfort across the stack. Be ready to talk about your experience in building tools, services, and scripts. Provide examples of how you've integrated different technologies to create seamless data solutions.
✨Discuss Your Experience with Data Quality Control
Data integrity is key in this position. Prepare to explain your approach to cleaning, transforming, and validating data. Share any techniques or frameworks you've used to ensure high-quality datasets.
✨Engage in Research Discussions
Since this role involves collaboration with researchers, show your enthusiasm for participating in research discussions. Be ready to share your thoughts on current trends in AI and how they relate to data engineering.
