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- Tasks: Advance AI assistants by developing and training machine learning models.
- Company: Leading AI research company focused on innovation and collaboration.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and tackle complex challenges in AI technology.
- Qualifications: Master’s or PhD in a relevant field with ML and NLP expertise.
- Other info: Dynamic remote environment with a focus on impactful projects.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research company is seeking a Machine Learning Engineer to advance their AI assistants. This fully remote role requires expertise in machine learning and natural language processing, ideally with hands-on experience in training LLMs. The ideal candidate will possess a Master’s or PhD in a relevant field and be eager to solve complex technical challenges.
Responsibilities include:
- Collaborating with teams
- Analyzing experiments to enhance system performance
Remote Europe ML Engineer — NLP & LLMs employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Europe ML Engineer — NLP & LLMs
✨Tip Number 1
Network like a pro! Reach out to fellow ML engineers and AI enthusiasts on LinkedIn or relevant forums. Engaging with the community can lead to hidden job opportunities and valuable insights.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practise common interview questions and consider mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge in the hiring process.
We think you need these skills to ace Remote Europe ML Engineer — NLP & LLMs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and natural language processing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about solving complex technical challenges.
Showcase Your Hands-On Experience: If you've got hands-on experience training LLMs, make sure to mention it! We love seeing practical examples of your work, so include any relevant projects or contributions that demonstrate your expertise.
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Enigma
✨Know Your Stuff
Make sure you brush up on your machine learning and natural language processing knowledge. Be ready to discuss your hands-on experience with training LLMs, as this will likely come up in the interview. Prepare to explain complex concepts in a way that shows your depth of understanding.
✨Show Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Think of examples from your past work where you solved difficult problems, especially those related to AI assistants or system performance. This will demonstrate your ability to think critically and creatively.
✨Collaborate Like a Pro
Since the role involves teamwork, be ready to discuss how you've collaborated with others in previous projects. Share specific instances where your contributions led to successful outcomes, highlighting your communication skills and ability to work in a team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, culture, and future goals. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you. It’s a two-way street, after all!
