Barrington James

Machine Learning Engineer

Job description

I am working with a state-of-the-art biotechnology company that is committed to promoting biotherapeutics and antibody research and development. Their goal is to transform the healthcare sector by improving antibody design and optimisation using computational and machine learning approaches.

They are seeking a highly skilled and motivated Machine Learning Engineer with specialised expertise in antibodies and 3D property prediction. The ideal candidate will play a crucial role in developing innovative machine learning models to advance our understanding of antibody structures, functions, and properties.


  • Work together to curate, preprocess, and analyse datasets pertaining to antibodies in collaboration with biologists and bioinformaticians.
  • Create and implement machine learning models to forecast three-dimensional (three-dimensional) features of antibodies, including immunogenicity, binding affinity, and structural stability.
  • Make use of cutting-edge machine learning methods and algorithms to improve the precision and effectiveness of predictive models.
  • To enhance model performance, find and incorporate pertinent information from antibody sequences and structures.
  • Constantly refine models in response to input from domain experts and experimental outcomes.
  • Keep up with the most recent developments in computational biology, antibody research, and machine learning to provide the team with creative ideas.


  • PhD in Computer Science, Machine Learning, Computational Biology, or related field.
  • Demonstrated machine learning expertise with an emphasis on bioinformatics, antibodies, or similar fields.
  • Experience working in a Biotech/Pharma/CRO environment is a must.
  • Excellent knowledge of important machine learning frameworks, such as TensorFlow and PyTorch, and strong programming abilities in languages like Python.
  • Experience with databases and techniques for predicting antibody structures.
  • Prior experience with molecular dynamics simulations and 3D property prediction is very advantageous.
  • Proficient communication abilities and the capacity to work well in a multidisciplinary group.

If you are passionate about leveraging machine learning to advance antibody research and contribute to the future of biotechnology, I encourage you to apply and join this dynamic team.

Following your application Filipa Englefield, a specialist Biotech will discuss the opportunity with you in detail. She will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

Please click ‘apply’ or contact Filipa Englefield for any further information.

Filipa Englefield

Recruitment Consultant - EMEA

Email: fenglefield (@)

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