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- Tasks: Design and deploy cutting-edge machine learning models for natural language understanding.
- Company: Exciting NLP tech startup backed by top-tier VCs in London.
- Benefits: Flexible hybrid work, collaborative culture, and rapid technical growth.
- Why this job: Join a pioneering team at the forefront of NLP technology.
- Qualifications: Deep expertise in NLP and proficiency in Python with ML frameworks.
- Other info: Ideal for experienced professionals looking to make an impact.
The predicted salary is between 54000 - 84000 £ per year.
Location: London, UK
Why this role is remarkable:
- Work at the forefront of Natural Language Processing using state-of-the-art architectures beyond BERT.
- Join a well-funded startup backed by top-tier VCs during a period of rapid technical expansion.
- Enjoy a flexible hybrid working environment with a collaborative office culture in Central London.
What you will do:
- Design, train, and deploy sophisticated machine learning models for natural language understanding tasks.
- Optimize and iterate on existing NLP frameworks to improve accuracy, latency, and scalability.
- Collaborate with cross-functional teams to integrate ML models into production-ready software products.
The ideal candidate:
- Deep technical expertise in NLP, specifically with Transformer-based architectures and BERT-style models.
- Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Proven experience in shipping machine learning models to production in a commercial environment.
Level of experience (years): Senior (5+ years of experience)
Machine Learning Engineer at High-growth NLP technology startup in West Wickham employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer at High-growth NLP technology startup in West Wickham
✨Tip Number 1
Network like a pro! Reach out to folks in the NLP community on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP. 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 Python and deep learning frameworks. Practice coding challenges and be ready to discuss your past projects in detail—this is where you can really shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout 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 Machine Learning Engineer at High-growth NLP technology startup in West Wickham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with NLP and Transformer-based architectures, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about NLP and how your background makes you a great fit for our team. Don't forget to mention any specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Since this role requires deep technical expertise, make sure to highlight your proficiency in Python and frameworks like PyTorch or TensorFlow. We love seeing examples of your work, so if you have a portfolio or GitHub, include that too!
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 shows us you’re keen on joining our awesome team!
How to prepare for a job interview at NLP PEOPLE
✨Know Your NLP Stuff
Make sure you brush up on your knowledge of Natural Language Processing, especially Transformer-based architectures and BERT-style models. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Coding Skills
Since strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with machine learning models. Think about how you've optimised existing frameworks and be ready to explain your thought process clearly and concisely.
✨Emphasise Collaboration
This role involves working with cross-functional teams, so highlight your teamwork experiences. Share examples of how you've collaborated with others to integrate ML models into production-ready software products, showcasing your communication skills.
