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- Tasks: Enhance LLMs and build machine learning pipelines in a fast-paced environment.
- Company: A leading Conversational AI unicorn in London with rapid growth.
- Benefits: Up to £300,000 base salary and significant equity options.
- Other info: Dynamic team culture with exciting career advancement opportunities.
- Why this job: Join a team reshaping human-computer interaction at a pivotal growth stage.
- Qualifications: Strong foundations in ML/AI and experience deploying production models.
A hyper-growth Conversational AI unicorn in London seeks Research Engineers to enhance LLMs and create end-to-end machine learning pipelines. Ideal candidates will possess strong foundations in ML/AI, a track record of deploying production models, and the ability to convert ambiguous problems into structured solutions.
This role offers up to £300,000 base and significant equity in a rapidly growing team. Join a leading company reshaping human-computer interaction at a pivotal growth stage.
Research Engineer, LLMs & Conversational AI - London employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, LLMs & Conversational AI - London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry 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, especially those related to LLMs and conversational AI. We want to see how you tackle real-world problems and turn them into structured solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common ML/AI interview questions and even doing mock interviews with friends or mentors.
✨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. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Research Engineer, LLMs & Conversational AI - London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong foundations in ML/AI and any experience you have with deploying production models. We want to see how your skills align with the role, so don’t hold back!
Tackle Ambiguity: Since the job involves converting ambiguous problems into structured solutions, share examples from your past where you've done just that. It’ll show us you can think on your feet and adapt to challenges.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Research Engineer role. We love seeing candidates who take the time to connect their experiences to what we’re looking for.
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 in our rapidly growing team!
How to prepare for a job interview at Durlston Partners
✨Know Your ML/AI Fundamentals
Make sure you brush up on your machine learning and artificial intelligence basics. Be ready to discuss key concepts, algorithms, and frameworks that are relevant to the role. This will show that you have a solid foundation and can engage in technical discussions.
✨Showcase Your Deployment Experience
Prepare specific examples of production models you've deployed in the past. Discuss the challenges you faced and how you overcame them. This will demonstrate your practical experience and ability to turn theory into real-world applications.
✨Tackle Ambiguity with Confidence
Be ready to discuss how you approach ambiguous problems. Think of a few examples where you successfully structured a complex issue into manageable parts. This will highlight your problem-solving skills and adaptability, which are crucial for this role.
✨Research the Company and Its Vision
Familiarise yourself with the company's mission and recent developments in conversational AI. Showing genuine interest in their work and how you can contribute will set you apart from other candidates. It’s all about aligning your goals with theirs!