At a Glance
- Tasks: Build advanced ML systems for drug discovery and collaborate with chemistry teams.
- 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 frequent social events and opportunities for continuous learning.
- Why this job: Join a high-performing team and make 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 programmes 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.
The Role
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 prioritises 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 in City of London 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 employee ownership and accountability, the company offers competitive equity options, modern benefits including private medical insurance and a pension scheme, and a vibrant work culture that promotes continuous learning and collaboration. This is an exceptional opportunity for a Machine Learning Engineer to make a significant impact in drug discovery while enjoying flexibility and a supportive environment.
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 in City of London
✨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 your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
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 in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Machine Learning Engineer. Highlight your experience with ADMET data and any relevant projects that showcase your skills in building production-grade ML systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about drug discovery and how your background aligns with our mission. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include examples of your work with MLOps tooling, cloud platforms, and any innovative solutions you've developed. We love seeing real-world applications of your expertise.
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 from us!
How to prepare for a job interview at Owen Thomas | B Corp™
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, especially in the context of drug discovery and ADMET data. Be ready to discuss specific models you've built and how they were deployed in production. This will show that you have the hands-on experience they're looking for.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about times when you had to curate datasets or work with cross-functional teams. Highlighting your ability to translate scientific needs into technical solutions will resonate well with them.
✨Familiarise Yourself with Their Tech Stack
Since this role involves building robust ML infrastructure, make sure you're comfortable discussing tools like AWS, GCP, or Azure. If you have experience with MLOps tooling or containerization, be ready to share specific instances where you've used these technologies effectively.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to collaborate with chemistry teams, so being able to present your findings clearly is crucial. Consider doing mock interviews with friends to refine your communication skills before the big day.
