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 through technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team in London with a focus on mentorship and collaboration.
- Why this job: Make a real impact in healthcare by translating research into life-saving treatments.
- Qualifications: 7+ years of 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 join a pioneering team dedicated to revolutionising drug and target discovery through advanced machine learning systems. Our company fosters a collaborative and innovative work culture, offering exceptional growth opportunities and the chance to lead impactful projects that directly contribute to human health advancements. With a commitment to employee development and a vibrant city location, we provide a unique environment where your expertise can thrive and make a meaningful difference.
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, especially those who work in ML or biomedical fields. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to drug discovery or genomics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex ML concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your expertise. Plus, it shows you're genuinely interested in joining our team.
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 in 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 StudySmarter!
Showcase Your Leadership Skills:Since this is a senior position, don’t forget to highlight your leadership experience. Talk about how you've mentored junior engineers or led implementation initiatives. We love seeing candidates who can inspire and guide others!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. 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 biomedical field.
✨Showcase Your Leadership Skills
Since this role involves leading initiatives and mentoring junior engineers, be prepared to share 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 latest trends in drug discovery and genomics. Being able to speak knowledgeably about biological and clinical data will set you apart. They’ll appreciate candidates who can connect their technical skills to real-world applications in pharma R&D.
✨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. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
