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- 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 and experience in machine learning.
- 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to fellow ML enthusiasts and professionals in your field. Join online forums, attend webinars, or even local meetups to connect with people who can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and LLMs. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and coding challenges to ensure you're ready to impress when the time comes.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for positions that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Remote ML Engineer — NLP/LLM with Python & PyTorch in London
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 integrated 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 don’t miss out on any important updates from our team!
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 tools but have hands-on experience.
✨Prepare for Technical Questions
Expect some technical questions or coding challenges during the interview. Practise solving problems related to retrieval systems and benchmarks. Websites like LeetCode or HackerRank can be great for this. We recommend simulating a coding interview with a friend to get comfortable.
✨Show Your Passion for AI
This role is all about advancing ML research, so let your enthusiasm shine through! Share your thoughts on current trends in AI and how they relate to the company’s work. This will demonstrate that you’re not just looking for any job, but are genuinely interested in contributing to their mission.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, challenges they face, or how they measure success in their AI assistant. This shows that you’re engaged and thinking critically about how you can fit into their team.
