At a Glance
- Tasks: Build and fine-tune LLM-powered systems in a collaborative AI Lab.
- Company: Harnham, a leading AI company based in London.
- Benefits: Salary up to £120,000, strong benefits, and hybrid working.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Join a high-impact team and work on real-world generative AI applications.
- Qualifications: Hands-on experience with large language models and Python required.
The predicted salary is between 120000 - 120000 € per year.
Harnham is seeking a Senior AI Engineer to contribute to their AI Lab in London. This role involves building and fine-tuning LLM-powered systems and designing retrieval-augmented pipelines.
The ideal candidate will have strong hands-on experience with large language models and Python, and will thrive in a collaborative, high-impact environment.
The position offers a salary up to £120,000, a strong benefits package, and hybrid working with a focus on real-world applications of generative AI.
Senior AI Engineer: NLP & Multimodal Fine-Tuning (Hybrid) in London employer: Harnham
Harnham is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the AI Lab in London. Employees benefit from a competitive salary, a robust benefits package, and the flexibility of hybrid working, all while engaging in meaningful projects that push the boundaries of generative AI technology. With a strong emphasis on professional growth, Harnham provides ample opportunities for skill development and career advancement in a high-impact environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer: NLP & Multimodal Fine-Tuning (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and NLP 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 projects with LLMs and Python. We want to see your hands-on experience, so make sure to highlight any real-world applications you've worked on.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. We recommend practicing common interview questions related to AI and multimodal systems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer: NLP & Multimodal Fine-Tuning (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with large language models and Python in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience with building and fine-tuning LLM-powered systems, as it shows us you’re genuinely interested in what we do.
Be Collaborative:Since we thrive in a collaborative environment, share examples of how you've worked in teams or contributed to high-impact projects. This will help us see how you fit into 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 don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models. Be prepared to discuss your hands-on experience with them, including any specific projects you've worked on. This will show that you’re not just familiar with the theory but have practical skills to back it up.
✨Showcase Your Python Skills
Since Python is a key part of the role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand. Having a few examples of your past work can also help illustrate your proficiency.
✨Collaborative Mindset
This position thrives in a collaborative environment, so be prepared to discuss how you’ve worked effectively in teams before. Share specific examples where your contributions led to successful outcomes, and highlight your ability to communicate complex ideas clearly.
✨Real-World Applications of AI
Harnham is focused on real-world applications of generative AI, so think about how your previous work has made an impact. Be ready to discuss how you can apply your skills to solve practical problems and contribute to their AI Lab’s goals.
