NLP/LLM Data Engineer (Contract)

NLP/LLM Data Engineer (Contract)

Full-Time 58500 - 71500 £ / year (est.) On-site
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At a Glance

  • Tasks: Design and optimise data pipelines for NLP and LLM applications.
  • Company: Leading recruitment agency in London with a focus on innovation.
  • Benefits: Competitive pay, flexible working hours, and opportunities for skill development.
  • Other info: Collaborate closely with data science teams in a cloud environment.
  • Why this job: Join a dynamic team and work on cutting-edge NLP technologies.
  • Qualifications: Expertise in Python, SQL, and data engineering frameworks like PySpark.

The predicted salary is between 58500 - 71500 £ per year.

A leading recruitment agency in London is seeking a highly skilled Contract Data Engineer to design and optimize data pipelines for NLP and LLM applications. Ideal candidates should have expertise in Natural Language Processing, Python, and SQL, along with experience in data engineering frameworks like PySpark and Airflow. This role involves working closely with data science teams to create scalable solutions in a cloud environment.

NLP/LLM Data Engineer (Contract) employer: Future Talent Group

Join a forward-thinking technology company in Witney, Oxfordshire, where innovation meets opportunity! As an Embedded Software Engineer, you'll be part of a dynamic team dedicated to developing next-generation software for autonomous systems, with a strong emphasis on employee growth and hybrid working arrangements. Enjoy a collaborative work culture that fosters creativity and problem-solving, while contributing to groundbreaking projects that shape the future of technology.

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Contact Details:

Future Talent Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land NLP/LLM Data Engineer (Contract)

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Future Talent Group!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like NLP/LLM Data Engineer (Contract) at Future Talent Group.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Future Talent Group.

✨Apply Directly through Our Website

When you find a suitable opening like NLP/LLM Data Engineer (Contract) at Future Talent Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace NLP/LLM Data Engineer (Contract)

Python
Problem-Solving Skills
Communication Skills
Data Pipeline Development
SQL
Data Engineering
API Integration

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Future Talent Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Future Talent Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Future Talent Group

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Future Talent Group!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.