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- Tasks: Develop cutting-edge AI technologies and optimise Transformer-based models.
- Company: Join DXC Technology, a leader in innovative AI solutions.
- Benefits: Enjoy a flexible work culture, competitive salary, and mentorship opportunities.
- Other info: Be part of a supportive team focused on innovation and collaboration.
- Why this job: Make an impact with advanced AI projects and grow your skills.
- Qualifications: Experience in fine-tuning models and knowledge of reinforcement learning.
The predicted salary is between 60000 - 80000 £ per year.
DXC Technology is seeking an AI Engineer to join our team in the UK. This role involves developing cutting-edge AI technologies, particularly focusing on Transformer-based architectures and LLMs.
Responsibilities include:
- Designing data pipelines
- Optimizing AI models
- Mentoring team members
The ideal candidate will have a background in fine-tuning models and be proficient with reinforcement learning concepts. Join us for impactful projects and a supportive, flexible work culture.
AI Engineer: LLMs, RAG & Transformer Expert in London employer: DXC Technology
Contact Detail:
DXC Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: LLMs, RAG & Transformer Expert in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field, especially those working with LLMs and Transformers. 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 AI technologies. Whether it’s fine-tuning models or designing data pipelines, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on reinforcement learning concepts and Transformer architectures. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll be part of a supportive team that values innovation and flexibility.
We think you need these skills to ace AI Engineer: LLMs, RAG & Transformer Expert in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Transformer-based architectures and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background in fine-tuning models makes you a great fit for our team. Let us know what excites you about the role!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've designed data pipelines or optimised AI models. We love seeing how you tackle challenges, so share those success stories with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at DXC Technology
✨Know Your Transformers
Make sure you brush up on Transformer architectures and LLMs before the interview. Be ready to discuss your experience with these technologies, including any specific projects you've worked on. This will show that you're not just familiar with the concepts but have practical knowledge as well.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience in designing data pipelines. Have examples ready that demonstrate how you've optimised AI models in the past. This will highlight your technical skills and your ability to contribute to their projects right from the start.
✨Mentorship Matters
Since mentoring is part of the role, think about your past experiences where you've guided others. Be ready to share specific instances where you helped a colleague or team member improve their skills. This will show that you’re a team player and can foster a supportive work culture.
✨Reinforcement Learning Insights
Brush up on reinforcement learning concepts and be prepared to discuss how they apply to your work. If you have any unique insights or experiences related to this area, make sure to bring them up. It’ll demonstrate your depth of knowledge and passion for AI.