Machine Learning Engineer, ADMET, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits

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.

The Role of Machine Learning Engineer, ADMET, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits

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 in the Machine Learning Engineer, ADMET, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits drop over your CV and if we think you are a good fit, we will give you a call!