Machine Learning Engineer

Machine Learning Engineer focuses on innovate: develop advanced models to predict ligand-target interactions.

What the role involves

• Innovate: Develop advanced models to predict ligand-target interactions.
• Build: Create production-quality software, integrating structure-based algorithms into a global platform.
• Own: You will have the freedom to drive innovation and shape the company’s technological framework from its inception.

Skills and requirements

• Relevant technical, electrical, mechanical, maintenance, gas, plumbing, or engineering experience may be required.

Confirmed role details

• 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.

Candidate fit

• 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.

Additional role context

• 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.
• 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.

Known job details

• Pay: £130,000