Machine Learning Engineer

This Machine Learning Engineer role in London, England is focused on innovate: Develop advanced models to predict ligand-target interactions. It would suit someone who can bring this team values outcomes over outputs and looks for individuals who thrive on autonomy and proactive problem-solving to the role.

Known job details

• Location: London, England
• Pay: £130,000
• Work model: Hybrid
• 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.

Likely focus of the role

• 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.

Requirements mentioned

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