Research Scientist (Machine Learning)

BioTalent Ltd; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading biotech company in London is seeking a Research Scientist (Machine Learning) to join an interdisciplinary team. In this role, you'll design and develop ML models to transform drug discovery, applying innovative approaches in a collaborative environment that fosters growth. A PhD and proven expertise in deep learning are required. This is a hybrid position, allowing for flexibility between in-office and remote work.

Benefits

Hybrid working (3 days per week in the office)

Opportunities for growth and leadership

Inclusive culture

Qualifications

• PhD (or equivalent experience) in ML, computer science, or a related field.
• Proven expertise in deep learning research and model development.
• Strong knowledge of mathematics (linear algebra, calculus, statistics).

Responsibilities

• Design and develop novel ML models and algorithms.
• Apply deep learning and generative modelling to complex scientific problems.
• Collaborate with experts across biology, chemistry, physics, and engineering.

Skills

Deep learning research

Model development

Mathematics (linear algebra, calculus, statistics)

Experience with ML frameworks

Education

PhD in ML, computer science, or related field

Tools

PyTorch

TensorFlow

JAX

Job description

Overview

We’re looking for aResearch Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.

This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.

This role will off you

• Work at the intersection of AI and life sciences with high-impact applications.
• Hybrid working (3 days per week in the London office).
• A collaborative, inclusive culture with opportunities for growth and leadership.

What you’ll do

• Design and develop novel ML models and algorithms.
• Apply deep learning and generative modelling to complex scientific problems.
• Collaborate with experts across biology, chemistry, physics, and engineering.
• Analyse, tune, and optimise experimental results.
• Depending on experience: lead projects, mentor others, and shape research strategy.

What you’ll bring

• PhD (or equivalent experience) in ML, computer science, or a related field.
• Proven expertise in deep learning research and model development.
• Strong knowledge of mathematics (linear algebra, calculus, statistics).
• Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
• A passion for applying ML to real-world scientific challenges.

Nice to have

• Experience working with biological or chemical data.
• Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.
• Contributions to publications, research projects, or open-source ML.