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- Tasks: Advance AI capabilities by designing experiments and applying research to real-world challenges.
- Company: Leading tech firm focused on innovative AI development.
- Benefits: Fully remote role, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the AI field.
- Qualifications: Expertise in machine learning, deep learning, and LLMs required.
- Other info: Work remotely from anywhere in Europe with great career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A technology firm specializing in AI development is looking for a skilled Machine Learning Engineer to advance its capabilities in answering complex technical questions through advanced systems. Candidates should have expertise in machine learning and deep learning, particularly with LLMs.
The role involves close collaboration with engineers, experiment design, and applying research findings to practical challenges. The position is fully remote within Europe, requiring the right to work in your country of residence.
Remote ML Engineer — NLP, LLMs & RAG Research in Leigh employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer — NLP, LLMs & RAG Research in Leigh
✨Tip Number 1
Network like a pro! Reach out to fellow ML engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and NLP. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and be ready to discuss your past experiences.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, so make sure your application stands out.
We think you need these skills to ace Remote ML Engineer — NLP, LLMs & RAG Research in Leigh
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in machine learning and deep learning, especially with LLMs. We want to see how your skills can help us tackle complex technical questions!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the ML Engineer role. We love seeing how you connect your experience to what we do at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for AI and research shines through without any fluff!
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 with StudySmarter!
How to prepare for a job interview at Enigma
✨Know Your ML Basics
Brush up on your machine learning fundamentals, especially around LLMs and NLP. Be ready to discuss key concepts, algorithms, and your previous projects. This shows you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Collaboration Skills
Since the role involves close collaboration with engineers, prepare examples of how you've successfully worked in teams. Highlight any experience in experiment design and how you’ve applied research findings to solve real-world problems.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of deep learning and AI systems. Practice coding challenges or problem-solving scenarios related to ML. This will help you demonstrate your analytical skills and technical prowess.
✨Ask Insightful Questions
At the end of the interview, ask thoughtful questions about the company’s projects, team dynamics, or future goals in AI development. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
