At a Glance
- Tasks: Build advanced ML models and shape innovative drug discovery systems.
- Company: Exciting AI start-up revolutionising pharmaceutical research.
- Benefits: Up to £130,000 salary, private medical insurance, and flexible working.
- Other info: Dynamic culture with social events and opportunities for continuous learning.
- Why this job: Join a high-impact team and make a difference in healthcare.
- 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 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 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 revolutionising 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 through frequent social events and off-sites. This is an exceptional opportunity for a Machine Learning Engineer to make a significant impact while enjoying flexibility and growth in a cutting-edge 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
✨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 projects in detail. Remember, they want to see how you think and solve problems!
✨Tip Number 4
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 directly with us. Don’t hesitate—get your CV in!
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 is tailored 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.
Showcase Your Impact:We want to see how you've made a difference in your previous roles. Use specific examples to demonstrate your ownership and the outcomes of your work, especially in areas like model development and infrastructure.
Keep It Clear and Concise:When writing your application, clarity is key! Avoid jargon and make sure your technical findings are easy to understand. We appreciate straightforward communication that gets to the point.
Apply Through Our Website:Don't forget to apply 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 team.
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 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 production experience!
✨Showcase Your Engineering Skills
Prepare to talk about your software engineering prowess and MLOps tooling. Have examples ready that demonstrate your hands-on experience with containerization and model serving. They want to see that you can build robust systems, not just theoretical models.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex technical concepts in simple terms. Think about how you would present your findings to a chemistry team or stakeholders who may not have a technical background. Clear communication can set you apart!
✨Embrace Ownership
This company values accountability and ownership. Be prepared to discuss how you've taken initiative in previous roles and how you approach problem-solving. Show them that you thrive in environments where you're responsible for your impact!
