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- Tasks: Lead the design and deployment of cutting-edge ML systems for drug discovery.
- Company: Join a pioneering biotech firm transforming human health through technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting opportunity to mentor junior engineers and shape technical direction.
- Why this job: Make a real impact in healthcare by advancing innovative ML solutions.
- Qualifications: 7+ years of experience in ML, deep learning, and biomedical data.
The predicted salary is between 80000 - 100000 £ per year.
Ready to build the ML backbone behind next-generation 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.
We’re looking for senior candidates with deep expertise in:
- 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. KEMIO Consulting is leading this confidential search and would welcome discreet conversations with senior candidates. Apply now or contact Eugene at KEMIO Consulting to discuss in more detail.
Senior Staff ML Engineer in Slough employer: KEMIO Consulting
Contact Detail:
KEMIO Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff ML Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. 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 with your projects, especially those related to ML systems and drug discovery. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend doing mock interviews with friends or using platforms that offer practice sessions. Confidence is key when discussing your experience and expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team and make a difference in health discovery.
We think you need these skills to ace Senior Staff ML Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deep learning and ML systems. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about drug discovery and how your background makes you the perfect fit for this role. Let us know what excites you about the opportunity!
Showcase Your Leadership Skills: Since this is a senior position, we’re keen to see examples of your leadership experience. Highlight any mentoring or team-leading roles you've had, especially in a matrixed environment, to demonstrate your ability to guide junior engineers.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at KEMIO Consulting
✨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.
✨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 biomedical and genomics landscape. Being able to speak knowledgeably about drug discovery processes and clinical data will set you apart. It shows you’re not just a tech whiz but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate 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 shows you’re engaged and thinking critically about the role.