At a Glance
- Tasks: Build advanced ML models and shape tech frameworks in drug discovery.
- Company: Innovative AI start-up revolutionising pharmaceutical research.
- Benefits: Up to £130,000 salary, private medical insurance, and pension scheme.
- Other info: Flexible remote work, equity options, and a culture of continuous learning.
- Why this job: Make a real impact in healthcare with cutting-edge technology.
- Qualifications: Experience in ML systems, strong software engineering skills, and cloud fluency.
The predicted salary is between 130000 - 130000 £ per year.
I am currently representing an AI-native drug design scale-up that is solving the "sparse data" problem in pharmaceutical research. While most of the industry relies on public data, this company has built a proprietary platform fueled by curated, non-public experimental measurements—including potency, binding, and ADMET—aggregated from exclusive partners and patents.
Since their 2023 launch, their platform has been adopted by hundreds of chemists globally to accelerate drug programs in oncology, dementia, and inflammation. They are now looking for a seasoned ML Engineer to join their high-performing team in Victoria House, Central London, to help supercharge the next phase of their product.
This isn't just a research role; it's about building robust, production-grade systems at the intersection of biology, chemistry, and machine learning. You will be instrumental in shaping their technological framework from its inception.
- Model Development: Build advanced molecular property prediction models and expand their AutoML pipelines.
- Infrastructure & MLOps: Architect the core ML infrastructure, including training pipelines, experiment tracking, model registries, and CI/CD for models.
- Data Curation: Curate and prepare specialized datasets of molecular properties.
- User-Centric Innovation: Work closely with chemistry teams and stakeholders to translate scientific needs into actionable technical solutions.
Who You Are
The team prioritizes outcomes over outputs and values "Ownership". They are looking for someone who thrives in an environment where they aren't dictated to, but are held accountable for their impact.
- Production Experience: You have demonstrable industry experience building and deploying ML systems in production, going beyond simple research prototypes. Experience working specifically with ADMET Data.
- Engineering Excellence: Strong software engineering skills and hands-on experience with MLOps tooling, containerization, and model serving.
- Cloud Fluency: Highly comfortable with AWS, GCP, or Azure and Infrastructure-as-Code.
- Communication: Ability to collaborate across disciplines and present technical findings clearly.
Bonus Points: A PhD in Chemistry or Computer Science, experience with RDKit/PyTorch, or a track record of open-source contributions.
Why Join?
- Equity: A competitive option plan aligned with the early stage of the company.
- Modern Benefits: Private medical insurance, a 5%/5% pension scheme, and the Cycle to Work scheme.
- Flexibility: 1-week remote working allowed per quarter.
- Culture: Frequent social events and off-sites with a team that values continuous learning and "Perseverance".
If you are interested, drop over your CV and if we think you are a good fit, we will give you a call!
Machine Learning Engineer, ADMET, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits employer: Owen Thomas | B CorpTM
Join a pioneering AI-native drug design scale-up in the heart of Central London, where you'll be part of a dynamic team dedicated to transforming pharmaceutical research. With a strong emphasis on employee ownership and accountability, the company offers competitive equity options, modern benefits including private medical insurance and a pension scheme, and a culture that fosters continuous learning and collaboration through frequent social events. This role not only provides the opportunity to work on cutting-edge technology but also allows for flexibility with remote working options, making it an ideal environment for growth and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer, ADMET, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. The more you engage with others, the better your chances of landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with your projects, especially those related to ML and ADMET. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us
We’ve got your back! Apply through our website for the best chance at landing that Machine Learning Engineer role. We’re here to help you every step of the way!
We think you need these skills to ace Machine Learning Engineer, ADMET, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your production experience and any relevant projects you've worked on, especially those involving ADMET data.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about drug discovery and how your background in machine learning can contribute to our mission. Be genuine and let your personality shine through!
Showcase Your Technical Skills:Don’t forget to mention your proficiency with MLOps tooling, cloud platforms like AWS or GCP, and any experience with containerization. We want to see how you can help us build robust systems from the get-go.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Owen Thomas | B CorpTM
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially around ADMET data. Be ready to discuss your past projects and how you've built and deployed ML systems in production. This role is all about practical experience, so be prepared to showcase your technical skills.
✨Showcase Your Collaboration Skills
Since this position involves working closely with chemistry teams, highlight any previous experiences where you've successfully collaborated across disciplines. Think of specific examples where your communication made a difference in translating scientific needs into technical solutions.
✨Demonstrate Ownership
The company values ownership and accountability, so come prepared with stories that illustrate how you've taken initiative in your past roles. Discuss times when you went above and beyond to ensure project success, and how you handled challenges along the way.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's platform and their approach to solving the sparse data problem. This shows your genuine interest in their work and helps you understand if their culture aligns with your values, especially around continuous learning and perseverance.
