Lead Machine Learning Engineer

  • Northpoint Recruitment
  • Oxford, UK
  • 21/03/2020
Full time Data Science Machine Learning Big Data Statistics Biostatistics

Job Description

Michael Glaze-Santonen
Email: michael.glaze@wearenorthpoint.com
Lead Machine Learning Engineer. Oxford/London/Remote.

Client Overview

A biotechnology leader they use proprietary clinical AI technology to understand patient data in a way that leads to the detection, prevention and cure of serious illnesses. Harnessing this unique approach, they are able to pioneer new approaches to drug discovery and clinical trials.

The role will appeal to an experienced Machine Learning Professional who wants to take the next step in her / his career.

So, what will you be doing?

Take the lead on projects and lead your team to deliver best-in-class results
Use your experience to help up-skill those in your team
Build, then implement Data Science and Machine Learning solutions which provide intelligence to support decision making in the company and life sciences.
Guide and support researches on programming best practices; through all phases of project development
Help and guide the optimization of Machine Learning driven approaches; developing robust model training and data infrastructure to this effect
Publish research results in national and international conferences and scientific journals


MSc or PhD in a discipline such as Mathematics, Computer Science, Physics, Data Science, Machine Learning, Biomedical Engineering.
Demonstrable ability in ML research and development projects
Programming experience - Python (bonus points for Scala, R etc)
Experience building data solutions in increments and integrating then managing datasets from multiple sources
(Desirable) experience using deep learning libraries such as TensorFlow, PyTorch or Similar
(Desirable) experience in the analysis of healthcare/clinical data

What You’ll get

The flexibility to split your time between remote and Oxford offices. (Remote for the foreseeable)
Latest cutting-edge equipment
Continuous training
Company share option schemes
Generous pension contributions
Health insurance (including partners and children)
Free gym membership
A challenging, fun, rewarding environment to work in and contributing to causes that will make a real difference to the healthcare sector.
If you feel that you have the required experience for the position we would love to hear from you. Please send us a copy of your CV and we will be sure to consider you. If you would like to speak to us directly then please call on 0161 236 8200.