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, equity options, private medical insurance, and flexible working.
- Other info: Dynamic culture with social events and opportunities for continuous learning.
- Why this job: Join a high-performing team making a real impact in healthcare innovation.
- 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.
- 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 Corp™
Join a pioneering AI-native drug design scale-up in the heart of Central London, where you will be part of a dynamic team dedicated to transforming pharmaceutical research. With a strong emphasis on ownership and innovation, the company offers competitive equity options, modern benefits including private medical insurance and a pension scheme, and a culture that promotes continuous learning 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 excellent employer for those seeking meaningful and rewarding employment.
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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and drug discovery. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges and be ready to discuss your past experiences in detail. Remember, they want to see how you think and solve problems!
✨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 looking for passionate individuals who are ready to make an impact in the AI and drug discovery space.
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 sure to mention any specific technologies or methodologies you’ve used that relate to the job.
Showcase Your Communication Skills:Since collaboration is key in our team, demonstrate your ability to communicate complex ideas clearly. Whether it’s in your CV or cover letter, make sure to include examples of how you've successfully worked with cross-disciplinary teams.
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 in our innovative start-up!
How to prepare for a job interview at Owen Thomas | B Corp™
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around ADMET data and molecular property prediction. Be ready to discuss your past projects and how they relate to the role. This is your chance to show off your expertise!
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. The company values ownership and accountability, so highlight instances where you took initiative and made a significant impact.
✨Familiarise Yourself with Their Tech Stack
Get to grips with the tools and technologies mentioned in the job description, like AWS, GCP, or Azure. If you have experience with MLOps tooling or containerization, be ready to share examples of how you've used these in production environments.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll be collaborating with chemistry teams, being able to bridge the gap between technical and non-technical stakeholders is crucial. Think about how you can make your findings accessible to everyone.
