Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and streamline algorithms for automating regulatory tasks in Life Sciences.
- Company: Innovative AI startup in London with a focus on MedTech.
- Benefits: Competitive salary, equity options, health insurance, and pension schemes.
- Why this job: Take ownership of key components and impact technology and team culture.
- Qualifications: Experience in MLOps, data pipeline management, and natural language processing.
- Other info: Enjoy a hybrid work environment and collaborate with a team of experts.
The predicted salary is between 36000 - 60000 £ per year.
An innovative AI startup in London is seeking a Founding ML Engineer to build and streamline algorithms for automating critical regulatory tasks in Life Sciences. This role offers the chance to take ownership of essential components, collaborate with a team of experts, and impact both technology and team culture.
Candidates with strong MLOps, data pipeline management, and natural language processing experience are encouraged to apply. The position offers a hybrid work environment, competitive salary, equity options, and benefits including health insurance and pension schemes.
Founding ML Engineer for MedTech AI — Equity & Visa employer: Klaris AI Ltd
Contact Detail:
Klaris AI Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding ML Engineer for MedTech AI — Equity & Visa
✨Tip Number 1
Network like a pro! Reach out to people in the MedTech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for the industry.
✨Tip Number 2
Prepare for those interviews! Brush up on your MLOps, data pipeline management, and natural language processing skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant algorithms or automation tasks, make sure to highlight them in your conversations. We love seeing real-world applications of your skills, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team at the forefront of MedTech AI.
We think you need these skills to ace Founding ML Engineer for MedTech AI — Equity & Visa
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can transform the MedTech space. Share any personal projects or experiences that highlight your commitment to this field.
Highlight Relevant Experience: Make sure to showcase your MLOps, data pipeline management, and natural language processing skills. We want to know how your background aligns with the role, so be specific about your achievements and contributions in these areas.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. Mention how you can contribute to automating regulatory tasks and improving team culture at our innovative startup.
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 don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Klaris AI Ltd
✨Know Your Algorithms
Make sure you brush up on the algorithms relevant to automating regulatory tasks in Life Sciences. Be ready to discuss your experience with MLOps and how you've streamlined data pipelines in previous roles.
✨Showcase Your Collaboration Skills
This role involves working closely with a team of experts, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you contributed to team culture or led initiatives.
✨Prepare for Technical Questions
Expect technical questions that dive deep into natural language processing and machine learning concepts. Practise explaining complex ideas in simple terms, as this will demonstrate your understanding and communication skills.
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions ready about the company's vision, the technology stack they use, and how they measure success in this role. This shows your genuine interest and helps you assess if it's the right fit for you.
