Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Integrate AI models into a molecular discovery platform and implement cutting-edge ML research.
- Company: Leading biotech company in the UK with a focus on innovation.
- Benefits: Competitive salary, equity participation, and fully remote work.
- Why this job: Join a multidisciplinary team and make a real impact in biotech with AI.
- Qualifications: Experience in ML infrastructure and strong software skills; PhD or MSc preferred.
- Other info: Exciting opportunity for career growth in a dynamic, remote environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading biotech company in the UK is seeking a Research Engineer (Machine Learning) to integrate AI models into a molecular discovery platform. Working in a multidisciplinary team, you will implement cutting-edge ML research into scalable systems, enabling effective experimentation.
The ideal candidate has experience in ML infrastructure, strong software skills, and a PhD or MSc in a relevant field. This role is fully remote, offering a competitive salary and significant equity participation.
Remote ML Research Engineer — Production‑Ready Bio AI employer: Hlx Life Sciences
Contact Detail:
Hlx Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Research Engineer — Production‑Ready Bio AI
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and AI fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research common ML interview questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your projects! Create a portfolio of your work, especially any ML models you've developed or contributed to. This will give potential employers a tangible sense of your skills and creativity.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote ML Research Engineer — Production‑Ready Bio AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML infrastructure and software skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about integrating AI into molecular discovery. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Research: If you’ve got a PhD or MSc, make sure to mention any cutting-edge ML research you’ve been involved in. We’re looking for candidates who can bring innovative ideas to our multidisciplinary team, so highlight those achievements!
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Hlx Life Sciences
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and recent advancements in the field. Be ready to discuss how you've applied ML in previous projects, especially in a production-ready context.
✨Showcase Your Software Skills
Since strong software skills are crucial for this role, prepare to talk about your coding experience. Bring examples of your work, whether it's GitHub repositories or specific projects where you implemented scalable systems.
✨Understand the Company’s Mission
Research the biotech company and their molecular discovery platform. Knowing their goals and how your role fits into their vision will help you answer questions more effectively and show your genuine interest.
✨Prepare for Team Dynamics
As you'll be working in a multidisciplinary team, think about how you can contribute to collaboration. Be ready to discuss past experiences where teamwork was key to your success, and how you handle different perspectives.
