Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance an AI assistant and tackle challenges in machine learning and NLP.
- Company: Cutting-edge AI company with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for ML research advancement.
- Why this job: Join a dynamic team and make a real impact in AI technology.
- Qualifications: Master’s or PhD in Computer Science with experience in ML and NLP.
- Other info: Full-time position with excellent growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A cutting-edge AI company is seeking a Machine Learning Engineer to work remotely across Europe. You will play a key role in enhancing an integrated AI assistant, tackling challenges in evaluating retrieval systems and designing benchmarks.
Candidates should possess a Master’s or PhD in Computer Science or related fields, with significant experience in machine learning and natural language processing. This is a full-time position suited for individuals eager to advance their ML research in a dynamic environment.
Remote ML Engineer — NLP/LLM with Python & PyTorch employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer — NLP/LLM with Python & PyTorch
✨Tip Number 1
Network like a pro! Reach out to fellow ML enthusiasts and professionals on LinkedIn or relevant forums. Engaging in conversations about NLP and LLMs can open doors to opportunities we might not even know about.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and PyTorch. We all love a good demo, so make sure potential employers can see your work in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions related to NLP and retrieval systems. We want you to feel confident when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to take their ML research to the next level.
We think you need these skills to ace Remote ML Engineer — NLP/LLM with Python & PyTorch
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and PyTorch in your application. We want to see how you've tackled challenges in machine learning and natural language processing, so don’t hold back!
Tailor Your CV: Customise your CV to reflect the job description. We love seeing candidates who align their skills and experiences with what we’re looking for, especially in evaluating retrieval systems and designing benchmarks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about ML research and how you can contribute to our AI assistant. Keep it engaging and relevant to the role.
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!
How to prepare for a job interview at Enigma
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around NLP and LLMs. Be ready to discuss your previous projects in detail, particularly those involving Python and PyTorch. This will show that you’re not just familiar with the theory but have practical experience too.
✨Prepare for Technical Questions
Expect some technical questions or coding challenges during the interview. Practise solving problems related to retrieval systems and designing benchmarks. You might want to review common algorithms and their applications in NLP to demonstrate your expertise.
✨Show Your Passion for AI
Let your enthusiasm for AI and machine learning shine through. Talk about recent advancements in the field that excite you and how you see them impacting future developments. This can help convey your eagerness to contribute to the company’s innovative projects.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's AI assistant and its challenges. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street, after all!
