Senior AI Engineer — LLM‐Powered Editorial AI Lab in London

Senior AI Engineer — LLM‐Powered Editorial AI Lab in London

London Full-Time 110000 - 120000 € / year (est.) Home office (partial)
Harnham

At a Glance

  • Tasks: Build and refine LLM-powered systems to enhance user experiences.
  • Company: Join Harnham's innovative AI Lab in London.
  • Benefits: Competitive salary, comprehensive benefits, and flexible working options.
  • Other info: Exciting opportunity in a dynamic and supportive environment.
  • Why this job: Make a real impact in AI while collaborating with creative teams.
  • Qualifications: Experience in NLP and strong collaboration skills required.

The predicted salary is between 110000 - 120000 € per year.

Harnham is seeking a Senior AI Engineer to join their newly formed AI Lab in London. The successful candidate will build and refine LLM-powered systems that influence user experiences.

Responsibilities include:

  • Fine-tuning NLP pipelines
  • Designing datasets
  • Collaboration with product and editorial teams

This hybrid role offers a competitive salary between £110,000 and £120,000, comprehensive benefits, and flexible working options.

Senior AI Engineer — LLM‐Powered Editorial AI Lab in London employer: Harnham

Harnham is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on collaboration and employee development, team members benefit from comprehensive training opportunities and flexible working arrangements, ensuring a healthy work-life balance. The competitive salary and benefits package further enhance the appeal of joining our cutting-edge AI Lab, where your contributions will directly shape user experiences through advanced LLM-powered systems.

Harnham

Contact Detail:

Harnham Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer — LLM‐Powered Editorial AI Lab in London

Tip Number 1

Network like a pro! Reach out to folks in the AI and editorial space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.

Tip Number 2

Show off your skills! Create a portfolio showcasing your LLM projects or any NLP pipelines you've worked on. We want to see your creativity and technical prowess in action!

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of AI systems and be ready to discuss how you’d collaborate with product and editorial teams. We love candidates who can think on their feet and bring fresh ideas to the table.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to find someone who’s as passionate about AI as we are!

We think you need these skills to ace Senior AI Engineer — LLM‐Powered Editorial AI Lab in London

LLM (Large Language Model) Development
NLP (Natural Language Processing)
Dataset Design
Collaboration Skills
User Experience Design
Fine-tuning Models
Technical Proficiency in AI Systems

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with LLMs and NLP pipelines. 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 excited about joining our AI Lab and how you can contribute to enhancing user experiences. Keep it engaging and personal!

Showcase Collaboration Skills:Since this role involves working closely with product and editorial teams, make sure to mention any past experiences where you’ve successfully collaborated. We love seeing teamwork in action!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Harnham

Know Your LLMs

Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss how you've worked with them in the past, particularly in fine-tuning NLP pipelines. This will show that you’re not just familiar with the technology but can also apply it effectively.

Showcase Collaboration Skills

Since this role emphasises collaboration with product and editorial teams, prepare examples of how you've successfully worked in cross-functional teams. Highlight specific projects where your input made a difference, demonstrating your ability to communicate and collaborate effectively.

Prepare for Technical Questions

Expect some technical questions related to AI engineering and NLP. Brush up on your coding skills and be ready to solve problems on the spot. Practising common algorithms and data structures can help you feel more confident when tackling these questions.

Ask Insightful Questions

At the end of the interview, don’t forget to ask insightful questions about the AI Lab's vision and future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.