Machine Learning Engineer
On site
London, United Kingdom
Full Time
13-03-2025
Job Specifications
Job Title: Machine Learning Engineer
Location: London (Hybrid)
This is a well-funded technology company that is leading the way in revolutionising how drug treatments are discovered, tested, and developed through a computational approach. Still at the beginning of an exciting journey, they’re expanding their UK-based AI team. You’ll be joining a world-class team of talented individuals passionate about innovation, pushing boundaries and working in a collaborative environment.
About the Role
As a key member of the ML team, you will design and deploy clean, highly scalable algorithms and apply your expansive knowledge of recent, topical research domains to design novel solutions.
What’s on offer:
Industry-leading salary compensation DOE
An opportunity to work on projects that will make a difference in the world, all projects are orientated to improve society and people’s lives
State-of-the-art resources, enabling you to push the boundaries of AI research and development quickly and ethically
Your Responsibilities:
Design, train, and optimise machine learning models for drug discovery applications, including compound screening, target identification, and lead optimisation. Using PyTorch, TensorFlow, and Hugging Face
Apply state-of-the-art techniques such as deep learning, reinforcement learning, and generative models to solve complex biological and chemical problems.
Work closely with computational chemists, biologists, and data scientists to define project goals and align machine learning strategies with scientific objectives.
Utilise synthetic data generation to improve model performance and address data scarcity
Curate, preprocess, and manage large-scale biological, chemical, and omics datasets.
Explore and identify insights from diverse data sources to inform model development and validation.
Rapidly prototype proof-of-concept models to address specific drug discovery challenges.
Translate prototypes into robust, scalable solutions integrated with the company’s drug discovery pipeline.
What you bring:
Ideally, you will come from an academic background, at minimum masters level, but a PhD is preferred within computer science, operational research, computational biology, bioinformatics etc
Strong proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
Experience in distributed computing and scalable model training
Familiarity with synthetic data generation and data augmentation techniques
Experience working with large-scale datasets and cloud platforms (AWS, GCP, Azure)
Please apply with a copy of your CV - j.phillips@cubiqrecruitment.com
About the Company
We believe that advanced technology is paving the way to a more sustainable future. We believe in going the extra mile to provide our customers with a competitive edge. Since our inception in 2010, Cubiq has established a reputation for excellence in the delivery of high quality engineering talent to the most ground-breaking technology companies in the world. Cubiq methods are subtle, data-driven, and highly effective, which is how we have become widely recognised as leading experts within engineering and technology recr... Know more
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