Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and scale a platform for predictive models in AI drug discovery.
- Company: Next-gen pharmatech firm based in London with a focus on innovation.
- Benefits: Competitive compensation and flexible remote work options.
- Why this job: Join a cutting-edge team to revolutionise drug discovery using AI.
- Qualifications: 6+ years in software engineering with expertise in machine learning systems.
- Other info: Work at the exciting intersection of AI, physics, and chemistry.
The predicted salary is between 60000 - 80000 £ per year.
A next-generation pharmatech firm in London seeks a Senior ML Software Engineer to build and scale their platform-facing product managing predictive models. The ideal candidate will have over 6 years of experience in software engineering with a strong focus on machine learning systems. You will work at the intersection of AI, physics, and chemistry to accelerate drug discovery. Competitive compensation and remote work options are provided.
Senior ML Platform Engineer for AI Drug Discovery - Remote in City of London employer: Aqemia
Contact Detail:
Aqemia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Platform Engineer for AI Drug Discovery - Remote in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. We want to see your work in action, especially if it relates to AI and drug discovery. It’s a great way to stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with predictive models. We recommend practicing common ML interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find the right role. Plus, it shows us you’re genuinely interested in joining our team. Don’t miss out on the chance to be part of something big!
We think you need these skills to ace Senior ML Platform Engineer for AI Drug Discovery - Remote in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and machine learning systems. 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 excited about the intersection of AI, physics, and chemistry in drug discovery. Let us know what makes you a great fit for our team.
Showcase Your Technical Skills: In your application, be specific about the technologies and tools you’ve used in your previous roles. We’re looking for someone with a strong technical background, so don’t hold back on the details!
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’s super easy!
How to prepare for a job interview at Aqemia
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your experience with predictive models and how you've applied them in real-world scenarios, especially in the context of drug discovery.
✨Showcase Your Software Skills
Prepare to talk about your software engineering background. Highlight specific projects where you've built or scaled platforms, and be ready to dive into the technical details. They’ll want to see your coding prowess and problem-solving abilities.
✨Connect AI with Chemistry and Physics
Since this role sits at the intersection of AI, physics, and chemistry, think about how these fields interact in your previous work. Be prepared to discuss any interdisciplinary projects you've worked on and how they relate to drug discovery.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI in drug discovery, their tech stack, and team dynamics. This shows your genuine interest and helps you assess if it’s the right fit for you.