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- Tasks: Lead the development of LLM-powered features and build NLP pipelines in a hybrid environment.
- Company: Innovative HealthTech platform based in Oxford, focused on cutting-edge technology.
- Benefits: Competitive salary and the chance to work on impactful healthcare solutions.
- Why this job: Join a pioneering team and shape the future of health technology with your expertise.
- Qualifications: Strong experience with LLMs, NLP, and solid Python skills required.
- Other info: Exciting opportunity for career growth in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A HealthTech platform based in Oxford is seeking a Senior GenAI Engineer to lead the technical ownership of LLM-powered capabilities. You will work on deploying features for text understanding and building NLP pipelines in a hybrid environment.
The ideal candidate has strong commercial experience with LLMs and NLP, solid Python skills, and a focus on pragmatic engineering practices. While healthcare experience is a plus, it's not mandatory. Visa/sponsorship is not available for this role.
Senior GenAI Engineer - HealthTech LLMs in Production in Oxford employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GenAI Engineer - HealthTech LLMs in Production in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the HealthTech space, especially those working with LLMs and NLP. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you've got projects or contributions related to GenAI or NLP, make sure to highlight them in conversations. Real-world examples speak volumes.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and LLM concepts. We all know that hands-on coding challenges can be tough, so practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive.
We think you need these skills to ace Senior GenAI Engineer - HealthTech LLMs in Production in Oxford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with LLMs and NLP in your application. We want to see your strong Python skills and any relevant projects you've worked on, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, especially in deploying features for text understanding.
Be Pragmatic: Since we value pragmatic engineering practices, share examples of how you've approached problem-solving in your previous roles. We’re keen to know how you tackle challenges in a hybrid environment.
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 get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at NearTech Search
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) and their applications in HealthTech. Be ready to discuss specific projects you've worked on, especially those involving NLP pipelines. This will show your technical expertise and how it aligns with the company's needs.
✨Showcase Your Python Skills
Since solid Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures in Python can give you an edge.
✨Understand the Hybrid Environment
Familiarise yourself with hybrid environments and how they impact deployment strategies. Be prepared to discuss your experience with cloud services or on-premises solutions, as well as how you approach integrating different systems effectively.
✨Prepare Questions About the Company
Have insightful questions ready about the company's vision for LLM-powered capabilities in healthcare. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. It’s a great way to engage with the interviewers!
