At a Glance
- Tasks: Build and fine-tune LLM-powered systems in a collaborative AI Lab.
- Company: Harnham, a leading company in AI innovation based in London.
- Benefits: Salary up to £120,000, strong benefits, and hybrid working options.
- 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) 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 ample opportunities for professional growth and development, Harnham is committed to nurturing talent and driving impactful advancements in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer: NLP & Multimodal Fine-Tuning (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work at Harnham or similar companies. A friendly chat can open doors and give you insider info on the role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects with large language models and Python. Real-world examples of your work can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and understanding of NLP concepts. Mock interviews with friends or online platforms can help you feel more confident.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're serious about joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior AI Engineer: NLP & Multimodal Fine-Tuning (Hybrid)
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 the position.
Be Collaborative:Since we thrive in a collaborative environment, share examples of how you've worked effectively in teams. This will help us see how you can contribute to our high-impact projects.
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 or explain your thought process while coding. Practising common algorithms and data structures in Python can really help you shine.
✨Collaborative Mindset
This position thrives in a collaborative environment, so be prepared to discuss how you work with others. Share examples of past teamwork experiences, especially those that led to high-impact results. Highlighting your ability to communicate and collaborate effectively will set you apart.
✨Real-World Applications of AI
Familiarise yourself with real-world applications of generative AI. Be ready to discuss how you envision using AI in practical scenarios, particularly in relation to retrieval-augmented pipelines. Showing that you can think beyond the code and understand the impact of your work will impress the interviewers.
