At a Glance
- Tasks: Lead the design and deployment of cutting-edge ML systems for drug discovery.
- Company: Innovative biotech firm focused on transforming human health.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team and mentor the next generation of engineers.
- Why this job: Make a real impact in healthcare by advancing ML technologies.
- Qualifications: 7+ years experience in ML, with a strong background in biomedical data.
The predicted salary is between 80000 - 100000 € per year.
Ready to build the ML backbone behind next-human health discovery? We're partnering on a retained search for a Senior Staff / Principal-level Machine Learning Engineer to lead the design, training, and deployment of frontier ML systems across multi-omics, biomarker discovery, target discovery, genomics, and multimodal biomedical data. This is a rare opportunity to translate cutting-edge research into robust, production-grade systems that can improve how new treatments are discovered and developed.
Deep Expertise
- Deep learning and modern ML systems
- Distributed training and GPU infrastructure
- MLOps, deployment, and reliability at scale
- Biomedical, genomics, or drug discovery ML
Requirements
- 7+ years relevant post PhD experience
- Experience productionising foundation models and model components
- Experience introducing training efficiencies into large model architectures
- Experience working within engineering best practice frameworks
- Biological/Clinical data domain knowledge
- Experience setting technical direction
- Experience leading implementation initiatives
- Experience leading junior engineers in a matrixed environment
- Experience mentoring junior engineers
- Understanding of pharma R&D
London-based opportunity.
Senior Staff ML Engineer in City of London employer: Energy Jobline ZR
As a Senior Staff Machine Learning Engineer in the heart of London, you will be part of a pioneering team dedicated to transforming human health through innovative ML systems. Our company fosters a collaborative and inclusive work culture, offering exceptional growth opportunities and the chance to mentor the next generation of engineers. With access to cutting-edge technology and a commitment to impactful research, we provide a unique environment where your contributions can lead to meaningful advancements in drug discovery.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff ML Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects, especially those related to ML systems and drug discovery. This gives potential employers a tangible look at what you can do, and we love seeing real-world applications of your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning and MLOps knowledge. Practice coding challenges and system design questions relevant to ML. We want you to feel confident and ready to impress when it comes to showcasing your technical prowess.
✨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’re always on the lookout for passionate candidates who are eager to make an impact in the field of biomedical data and drug discovery.
We think you need these skills to ace Senior Staff ML Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Staff ML Engineer role. Highlight your experience with deep learning, MLOps, and any relevant projects in drug discovery or genomics. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning in healthcare and how your background makes you the perfect fit for this role. Let us know what excites you about working with us at StudySmarter.
Showcase Your Projects:If you've worked on any impressive ML projects, especially those related to biomedical data or drug discovery, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Stuff
Make sure you brush up on your deep learning and ML systems knowledge. Be ready to discuss your experience with distributed training, GPU infrastructure, and MLOps. They’ll want to see that you can translate complex concepts into practical applications, especially in the context of drug discovery.
✨Showcase Your Leadership Skills
Since this role involves leading initiatives and mentoring junior engineers, be prepared to share specific examples of how you've successfully led teams in the past. Highlight any experiences where you set technical direction or introduced efficiencies in model architectures.
✨Understand the Domain
Familiarise yourself with the biomedical and genomics landscape. Knowing the latest trends in drug discovery and how ML can impact this field will give you an edge. Be ready to discuss how your expertise can contribute to improving treatment discovery and development.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s projects and goals. Inquire about their current challenges in ML deployment or how they envision the future of drug discovery with AI. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
