Senior Machine Learning Engineer

Salary : £80,000 – £100,000

Hybrid – 2 Office Days

Our client offers an innovative drug discovery platform that uses generative AI to explore organ-level mechanisms and design new drugs, aiming to enhance clinical success rates.

Role Summary

The client is seeking a senior AI/ML Engineer. You will work closely with top experts in AI for biology to push the boundaries of organism-level drug discovery.

Key Responsibilities

• Create and assess machine learning models to interpret omics data for drug discovery applications.
• Lead and collaborate on interdisciplinary projects in biology and drug discovery.
• Convert developed solutions into user-friendly packages with comprehensive documentation.

Required Qualifications

• Ph.D. or MSc. in computer science, mathematics, physics, computational biology, or equivalent experience.
• Experience with natural language models, diffusion/flow matching models, and large-scale vision models using transformer architecture.
• Proficiency in handling omics data, single-cell data, and perturbational data.
• Expertise in advanced statistical techniques, machine learning, and modern deep learning methods.
• Strong Python skills, including core data science libraries (Scikit-Learn, SciPy, TensorFlow, PyTorch).
• Knowledge of software development best practices and collaboration tools (git-based version control, Python package management, code reviews).
• Excellent communication skills for explaining complex algorithms and methods to non-technical stakeholders.
• Bonus: Experience with cloud environments and tools such as Google Cloud, Amazon AWS.