At a Glance
- Tasks: Develop and maintain NLP pipelines for clinical document processing in healthcare.
- Company: Exciting health-tech startup focused on transformative AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in healthcare delivery.
- Why this job: Join a team making a real difference in healthcare with cutting-edge AI technology.
- Qualifications: Proficiency in Python and experience in applied NLP engineering.
The predicted salary is between 36000 - 60000 £ per year.
A health-tech startup seeks a Machine Learning Engineer to join their Applied AI team in London. The role involves developing and maintaining NLP pipelines for clinical document processing, requiring proficiency in Python and experience with machine learning. Candidates should have a background in applied NLP engineering and previous exposure to healthcare-related text. The position offers a hybrid work model, contributing to transformative projects enhancing healthcare delivery.
ML Engineer — NLP, OCR & LLM for Healthcare AI employer: Enigma
Join a pioneering health-tech startup in London, where innovation meets purpose. As a Machine Learning Engineer, you'll be part of a dynamic team dedicated to transforming healthcare through cutting-edge AI solutions. Enjoy a hybrid work model, a collaborative culture that fosters professional growth, and the opportunity to make a meaningful impact on patient care.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer — NLP, OCR & LLM for Healthcare AI
✨Tip Number 1
Network like a pro! Reach out to folks in the health-tech and AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects, especially those related to healthcare. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and machine learning concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace ML Engineer — NLP, OCR & LLM for Healthcare AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with NLP and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about healthcare AI and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:Since we’re looking for someone proficient in Python and familiar with NLP pipelines, make sure to mention specific tools and technologies you’ve worked with. We love seeing practical examples of your work!
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 in our Applied AI team!
How to prepare for a job interview at Enigma
✨Know Your NLP Inside Out
Make sure you brush up on your knowledge of natural language processing, especially as it relates to healthcare. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Showcase Your Python Skills
Since proficiency in Python is a must for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous code. Practise common algorithms and libraries used in NLP, like NLTK or SpaCy, to impress your interviewers.
✨Understand the Healthcare Context
Familiarise yourself with the types of clinical documents you might encounter and the specific challenges in processing them. Being able to discuss how your work can directly impact healthcare delivery will set you apart from other candidates.
✨Prepare Questions About the Role
Interviews are a two-way street, so think of insightful questions to ask about the team, the projects, and the hybrid work model. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.
