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Research Scientist (Machine Learning)
NLP PEOPLE
Londres
Hybride
GBP 125 000 - 150 000
Plein temps
Il y a 30+ jours

Résumé du poste

A leading biotechnology company in London seeks a Research Scientist (Machine Learning) to develop innovative ML models that have real-world impacts in drug discovery. Join a collaborative and inclusive team, with opportunities to work hybrid and shape research strategy. Candidates should have a PhD, proven ML expertise, and a passion for scientific challenges.

Prestations

Hybrid working (3 days in office)
Opportunities for growth and leadership
Inclusive culture

Qualifications

  • PhD or equivalent in ML, computer science, or related field.
  • Expertise in deep learning research and model development.
  • Strong knowledge of mathematics including linear algebra, calculus, and statistics.

Responsabilités

  • Design and develop novel ML models and algorithms.
  • Apply deep learning to scientific problems.
  • Collaborate with experts across various fields.
  • Analyse and optimise experimental results.
  • Lead projects and mentor team members based on experience.

Connaissances

Deep learning expertise
Strong mathematical knowledge
Experience with ML frameworks
Collaboration skills

Formation

PhD in ML, computer science, or related field

Outils

PyTorch
TensorFlow
JAX
Description du poste
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.
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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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