Machine Learning Engineer, Alphafold, Boltz, Chai, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Plus Benefits

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

I am currently partnering with a high-growth,

AI-native drug design startup

based in

Central London

that is fundamentally changing how chemistry teams progress their programs.

While many in the space struggle with fragmented data, this team has built a proprietary platform using

curated, non-public experimental data

—aggregated from patents and global partners—to predict molecule properties with unprecedented accuracy.

Since their launch in 2023, their technology has already been adopted by

hundreds of chemists worldwide

, impacting real-world programs in

oncology, dementia, and global health

.

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

As an

ML Engineer

, you won’t just be a cog in a machine; you will be a foundational member of the team, designing cutting-edge algorithms to solve the industry’s most complex "real-world" AI challenges.

• Innovate:

Develop advanced models to predict

ligand-target interactions

.

• Build:

Create production-quality software, integrating

structure-based algorithms

into a global platform.

• Collaborate:

Work at the intersection of

physics, chemistry, biology, and ML

to translate scientific needs into product reality.

• Own:

You will have the freedom to drive innovation and shape the company’s technological framework from its inception.

Who You Are

This team values

outcomes over outputs

and looks for individuals who thrive on autonomy and proactive problem-solving.

• Deep Expertise:

You hold a

PhD, Postdoc, or significant industry experience

in

Molecular AI

.

• Engineering Rigor:

Strong skills in

scientific computing

, deep learning frameworks, and modern version control. Strong experience with either

Alphafold, Boltz or Chai.

• Cloud Fluency:

Comfort working with

AWS, GCP, or Azure

(Infrastructure-as-code).

• Interdisciplinary:

You can communicate complex technical concepts to both scientists and stakeholders.

• Bonus Points:

Any experience with

structure prediction

, open-source contributions (like

RDKit

or

PyTorch

), or deploying models to production is a major plus.

Why Join?

• Location:

Based in a beautiful, historic office in

Victoria House, London

.

• Flexibility:

Hybrid working

• Equity:

A highly

competitive option plan

.

• Culture:

A high-performing, supportive environment with frequent

social events and off-sites

.

• Benefits:

Private medical insurance, Cycle to Work scheme, and a strong pension (5%/5%).

If you are interested in this

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

role, drop over your CV and if we think you are a good match we will give you a call!