At a Glance
- Tasks: Design evaluation frameworks and enhance AI system performance.
- Company: DeepRec.ai, a forward-thinking company in the heart of London.
- Benefits: Hybrid working conditions and opportunities for career advancement.
- Other info: Be part of a growing company with leadership potential.
- Why this job: Join a dynamic team and lead the future of AI technology.
- Qualifications: 2-5 years of backend experience and a proactive mindset.
The predicted salary is between 60000 - 80000 € per year.
DeepRec.ai is looking for a Machine Learning Engineer specialized in LLM evaluations and agent systems in London. The role emphasizes production AI systems and engineering reliability, with responsibilities including designing evaluation frameworks and improving system performance.
Ideal candidates have 2-5 years of backend experience and an ownership mentality. The position offers hybrid working conditions and a chance to grow into a leadership role as the company scales.
Production ML Engineer — LLM Evals & Agent Systems in London employer: DeepRec.ai
DeepRec.ai is an exceptional employer that fosters a dynamic work culture in the heart of London, offering hybrid working conditions that promote work-life balance. With a strong emphasis on employee growth, this role provides opportunities to advance into leadership positions while working on cutting-edge AI technologies. Join a team that values innovation and ownership, making a meaningful impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Production ML Engineer — LLM Evals & Agent Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with LLMs and agent systems. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to production AI systems. This is your chance to demonstrate your ownership mentality and backend experience in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on evaluation frameworks and system performance improvements. We want you to feel confident discussing your ideas and experiences when it comes to engineering reliability.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Production ML Engineer — LLM Evals & Agent Systems in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLM evaluations and agent systems. We want to see how your background aligns 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 passionate about production AI systems and how your ownership mentality can contribute to our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in backend engineering. We love candidates who can demonstrate their ability to improve system performance and reliability—so share those success stories!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at DeepRec.ai
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around LLM evaluations and agent systems. Be ready to discuss specific algorithms, frameworks, and your past experiences with production AI systems.
✨Showcase Your Ownership Mentality
Prepare examples that demonstrate your ownership mentality. Talk about projects where you took the lead, made critical decisions, or improved system performance. This will resonate well with their emphasis on reliability and engineering excellence.
✨Familiarise Yourself with Evaluation Frameworks
Since the role involves designing evaluation frameworks, make sure you understand various metrics and methodologies used in evaluating LLMs. Bring insights from your previous work that can showcase your ability to enhance evaluation processes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to scaling and leadership opportunities. This shows your interest in growth and aligns with their vision for the future, making you a more attractive candidate.
