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- Tasks: Lead the development of advanced language models and design innovative NLP architectures.
- Company: Fast-growing NLP tech startup based in London with a dynamic culture.
- Benefits: Flexible hybrid work environment and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of language technology.
- Qualifications: Expertise in NLP, Python skills, and experience deploying ML models.
- Other info: Collaborate with cross-functional teams in an exciting startup atmosphere.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growth NLP technology startup based in London is seeking a Machine Learning Engineer to lead the development of advanced language models. In this role, you'll design and implement NLP architectures beyond traditional models while collaborating with cross-functional teams.
The ideal candidate has expertise in NLP, Python proficiency, and experience deploying ML models in a commercial setting. This position offers a dynamic and flexible hybrid work environment.
NLP ML Engineer - Transformer Models, Hybrid London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP ML Engineer - Transformer Models, Hybrid London
✨Tip Number 1
Network like a pro! Reach out to folks in the NLP and ML community on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and transformer models. We all love a good demo, so make sure you highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace NLP ML Engineer - Transformer Models, Hybrid London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in NLP and Python in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your projects or any relevant work you've done!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their skills and experiences directly to what we’re looking for in an NLP ML Engineer.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the position.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your NLP Stuff
Make sure you brush up on the latest trends and techniques in NLP, especially around transformer models. Be ready to discuss your previous projects and how you've applied these technologies in real-world scenarios.
✨Show Off Your Python Skills
Since Python proficiency is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to NLP and ML to keep your skills sharp.
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so be prepared to talk about your experience collaborating with others. Share examples of how you've successfully worked with different departments to achieve a common goal.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or future plans for NLP development to demonstrate your enthusiasm and engagement.
