Senior Machine Learning Scientist

Senior Machine learning Scientist

About the Role:

We’re building AI systems that can reason through biology and accelerate drug discovery.

As part of our Turing team, you’ll develop LLM- and agent-based tools that help scientists explore data, generate hypotheses, and make better decisions — faster.

This is not a typical data science role.

It’s about turning cutting-edge AI into real scientific impact.

Responsibilities

• Build and deploy LLM-powered systems (RAG, agents, workflows) for scientific use
• Design tools that support ML scientists and researchers in their day-to-day work
• Work with large, messy biomedical datasets (omics, literature, clinical data)
• Create multi-step AI workflows that automate research and reasoning
• Develop evaluation frameworks to ensure models are accurate and reliable
• Collaborate closely with ML engineers, data scientists, and biologists

Requirements:

Core:

• Experience building with LLMs (GPT-style models, RAG, agents, tooling)
• Strong Python + data/ML engineering skills
• Experience working with real-world data systems (not just notebooks)
• Ability to build tools that support other technical users

Bonus:

• Experience in biotech, healthcare, or scientific data
• Background in multi-step workflows or agent-based systems
• Experience evaluating or benchmarking ML/AI systems

Why This Role

• Work at the intersection of AI + science + real-world impact
• Build systems that go beyond chat — AI that reasons and acts
• Collaborate in a deeply cross-functional, high-calibre team
• Your work directly contributes to discovering new medicines