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- Tasks: Design and optimise data pipelines for NLP and LLM applications.
- Company: Join a forward-thinking tech company focused on innovation.
- Benefits: Competitive pay based on skills, flexible contract work, and growth opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience with LLMs, Python, and data engineering frameworks required.
- Other info: Collaborate with talented teams in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
This range is provided by Future Talent Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
OverviewWe are seeking a highly skilled Contract Data Engineer with proven expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) . The ideal candidate will be responsible for designing, building, and optimizing data pipelines and infrastructure to support NLP/LLM-driven applications and insights. You\’ll work closely with our data science and ML teams to enable robust, scalable, and production-ready solutions.
Responsibilities
Design, develop, and maintain scalable data pipelines for NLP and LLM workloads.
Build and optimize data infrastructure to support training, fine-tuning, and deployment of LLM models.
Work with cloud platforms (AWS, GCP, or Azure) to manage data and ML infrastructure.
Develop and maintain ETL/ELT processes for structured and unstructured data.
Qualifications
Experience working with Large Language Models (LLMs) , including fine-tuning, prompt engineering, and integration.
Proficiency in Python and common data engineering frameworks (e.g., PySpark, Airflow, dbt, Kafka).
Strong knowledge of SQL and relational as well as NoSQL databases.
Employment type
Contract
Job function
Information Technology
Industries
Staffing and Recruiting
We are not including location-based or time-based postings here. If you are interested, please contact Future Talent Group for more details about the role.
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Contract Data Engineer - NLP, LLM employer: Future Talent Group
Contact Detail:
Future Talent Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Engineer - NLP, LLM
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with NLP and LLMs. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data engineering, NLP, and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges and solutions. Be ready to discuss your experience with cloud platforms and how you've tackled real-world problems in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed by our recruitment team.
We think you need these skills to ace Contract Data Engineer - NLP, LLM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP and LLMs. We want to see how you've designed and optimised data pipelines, so don’t hold back on those details!
Showcase Your Skills: When writing your application, emphasise your proficiency in Python and any data engineering frameworks you’ve used. We love seeing real examples of your work, especially with cloud platforms like AWS or GCP.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures it gets into the right hands quickly.
How to prepare for a job interview at Future Talent Group
✨Know Your NLP and LLM Stuff
Make sure you brush up on your knowledge of Natural Language Processing and Large Language Models. Be ready to discuss your experience with fine-tuning, prompt engineering, and how you've integrated these models into previous projects.
✨Show Off Your Data Pipeline Skills
Prepare to talk about your experience designing and maintaining scalable data pipelines. Have specific examples ready that showcase your ability to work with ETL/ELT processes and how you've optimised data infrastructure for NLP workloads.
✨Cloud Platforms Are Key
Since you'll be working with cloud platforms like AWS, GCP, or Azure, make sure you can discuss your experience managing data and ML infrastructure in these environments. Highlight any projects where you’ve successfully deployed models in the cloud.
✨Get Comfortable with SQL and Databases
Be ready to demonstrate your proficiency in SQL and your understanding of both relational and NoSQL databases. Prepare to answer questions about how you've used these skills in past roles, especially in relation to data engineering frameworks like PySpark or Kafka.