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- Tasks: Develop and evaluate synthetic data generation pipelines for AI model training.
- Company: Leading AI technology firm in the UK with a focus on innovation.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Why this job: Join a dynamic team making impactful advancements in AI technology.
- Qualifications: Strong experimental methodology and experience with LLM systems required.
- Other info: Collaborative environment with high standards for complex AI tasks.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI technology firm in the United Kingdom is seeking a Software Engineer (Synthetic Data) to develop and evaluate synthetic data generation pipelines for training models. The ideal candidate possesses strong experimental methodology and experience in working with LLM systems. This full-time position emphasizes collaboration with researchers and engineers while maintaining high standards of quality for complex AI tasks. Join a dynamic team committed to making impactful advancements in AI technology.
Software Engineer, Synthetic Data & LLM Pipelines employer: V7
Contact Detail:
V7 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Synthetic Data & LLM Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. 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 work with synthetic data and LLM systems. This is your chance to demonstrate your experimental methodology and problem-solving abilities.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects. We want to see how you collaborate and maintain quality in complex tasks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our dynamic team.
We think you need these skills to ace Software Engineer, Synthetic Data & LLM Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with synthetic data and LLM systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI technology and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Methodology Skills: Since we value strong experimental methodology, be sure to include examples of how you've applied this in your previous work. Whether it's through specific projects or research, let us know how you approach problem-solving!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at V7
✨Know Your Synthetic Data Inside Out
Make sure you understand the principles of synthetic data generation and how it applies to LLM systems. Brush up on your experimental methodologies and be ready to discuss specific projects you've worked on that relate to this area.
✨Showcase Your Collaboration Skills
Since this role emphasises teamwork, prepare examples of how you've successfully collaborated with researchers and engineers in the past. Highlight any challenges you faced and how you overcame them together.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Review common algorithms and techniques used in synthetic data generation and LLM pipelines. Practise explaining complex concepts in a clear and concise manner.
✨Demonstrate Your Passion for AI Advancements
Research the latest trends and advancements in AI technology, especially those related to synthetic data and LLMs. Be prepared to share your thoughts on where the field is heading and how you can contribute to impactful advancements within the team.
