Machine Learning Engineer

ROLE OVERVIEW:

We are currently looking for a Machine Learning Engineer to join a leading research organisation based in London. As Machine Learning Engineer, you will be responsible for advancing data-processing, model-building, and deployment capabilities for a pioneering research organisation.

KEY

DUTIES AND RESPONSIBILITIES:

Your duties as the Machine Learning Engineer will be varied; however, the key duties and responsibilities are as follows:

1. Develop deep-learning pipelines for nuclear magnetic resonance (NMR) data and innovative machine learning approaches to elucidate and quantify interactions between small molecules and intrinsically disordered proteins.

2. Enhance the usability of built models by implementing automated, streamlined, and efficient software solutions in line with best practices, and build model-deployment and job-launching systems for internal and external use.

3. Collaborate closely with other computational and NMR team members, in addition to experimental biophysicists, assisting with experimental data handling and curation, and mentoring the interdisciplinary team in machine-learning and data analysis methods.

4. Stay current with breakthroughs in machine learning, neural networks, NMR, and computational technologies, contributing to the design and execution of cutting-edge machine learning and NMR research projects.

ROLE REQUIREMENTS:

To be successful in your application to this exciting role as Machine Learning Engineer, we are looking to identify the following on your profile and past history:

1. Relevant degree in a technical field with proven experience in machine learning or model-building.

2. Proven industry experience in applying machine learning and modelling techniques to graph-based data such as molecules and proteins, as well as time series. An ability to demonstrate innovative ways of working (for example work on disordered proteins and consideration of the next frontier in drug discovery) will be highly advantageous.

3. A working knowledge and practical experience with Python, and extensive experience with the scientific and machine-learning stack:
Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL.

Key Words:
Machine Learning Engineer / Data Processing / Model Building / NMR / Deep Learning / Computational Biophysics / Drug Discovery / Neural Networks / Scientific Software / Python / Nuclear Magnetic Resonance

Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career