Join us.


Lead Machine Learning Engineer

With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.


The Role

As a Lead Machine Learning Engineer in the Precision Medicine team, you will be leading the development and deployment of machine learning models to decipher complex and heterogeneous disease biology from large-scale multimodal clinical and biological data, with a broad focus on representation learning and generative modelling. You will be working with drug discoverers, translational medicine scientists, bioinformaticians and software engineers in a highly collaborative environment to discover optimum therapeutic interventions.

Primary Responsibilities

  • Lead the transition of AI models from prototypes through to production systems
  • Lead the design and implementation of reusable and maintainable AI models for precision medicine.
  • Promote machine learning and software engineering best practices, such as scalable training and deployment, model evaluation and test-driven development.
  • Report and demonstrate the features and performance of ML models and the results of ML experiments to internal users.
  • Collaborate with domain experts to translate scientific ideas into ML products.

We are looking for someone with

  • 5+ years of industry or equivalent academic experience
  • Strong software engineering and machine learning engineering knowledge
  • Knowledge of Python and related data science and ML libraries (e.g. NumPy, scikit-learn, PyTorch and/or Tensorflow, Pandas)
  • Experience with AWS, Kubernetes, and Docker
  • Data Pipeline development experience
Nice to haves:
  • Strong scientific background
  • Familiarity with PySpark or other distributed frameworks
  • Experience working with genetics, genomics and clinical datasets
  • Familiarity with MLOps tools, e.g. Kubeflow

We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey.  If that sounds like a fit for you, hit the apply button and join us.

About us

BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.

Want to do a little more research before you apply?

Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team thinks about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.

Important Note

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