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- Tasks: Design and deploy advanced NLP and LLM-driven solutions in a high-growth SaaS environment.
- Company: Join a dynamic SaaS company at the forefront of AI innovation.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work culture.
- Why this job: Make a real impact by delivering scalable AI systems and mentoring future talent.
- Qualifications: Strong AI/ML experience with a focus on production systems and MLOps practices.
- Other info: Exciting career growth opportunities in a fast-paced tech landscape.
The predicted salary is between 70000 - 100000 £ per year.
A high-growth SaaS company is seeking a Senior AI Engineer to design and deploy advanced NLP and LLM-driven solutions. This role involves collaborating closely with data and product teams to deliver scalable AI systems while mentoring junior engineers.
The ideal candidate will possess strong experience in AI/ML with a focus on production systems and a good understanding of MLOps practices.
Competitive salary between £70-100k based on experience, located in Greater London.
Senior AI Engineer - NLP/LLM in Production Systems employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - NLP/LLM in Production Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP and LLM projects. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your expertise and passion for AI engineering.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with production systems and MLOps. Practising common interview questions can really help you stand out.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior AI Engineer - NLP/LLM in Production Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML, especially with NLP and LLMs. We want to see how your skills align with our needs, 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 excited about the role and how your background makes you a perfect fit for our team. We love seeing passion and personality!
Showcase Your Collaboration Skills: Since this role involves working closely with data and product teams, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can contribute to our culture.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Digital Waffle
✨Know Your NLP and LLM Inside Out
Make sure you brush up on the latest advancements in Natural Language Processing and Large Language Models. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of knowledge and practical experience.
✨Showcase Your MLOps Understanding
Since this role involves production systems, be prepared to talk about MLOps practices. Discuss how you've implemented CI/CD pipelines for AI models or any tools you've used to monitor and maintain model performance in production. This will demonstrate your ability to bridge the gap between development and operations.
✨Collaboration is Key
Highlight your experience working with cross-functional teams, especially data and product teams. Share examples of how you've collaborated to deliver scalable AI solutions. This will illustrate your teamwork skills and your ability to mentor junior engineers effectively.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the company's approach to AI ethics, their tech stack, or how they measure the success of their AI systems. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
