Machine Learning & Data Analytics Engineer - Remote

anonymous company - Didcot
new offer (11/08/2020)

job description

Remote Machine Learning &
Data Analytics Engineeropportunity to join a rapidly expanding international Healthcare Software company, working at the forefront of data Science, AI &
Machine Learning Technology.
The Team
You will be joining the Software Products team working to enrich the machine learning and data analytics data engineering and analytics team. The aim is to drive the next generation of innovation for better patient outcomes, whilst harnessing some of the industry's most progressive AI approaches.
As a Machine Learning &
Data Analytics engineer, you will be working with a multi-disciplinary team of engineers to develop algorithms that solve clinically relevant problems at scale. You will apply your knowledge in a practical way that yields high accuracy at speed.
You'll be supporting the companies Software Products teams carrying out operations on large data sets and you will enable translation of AI models occasionally designed by other teams when required. You will look out for opportunities and tools in the research world that could yield better results on our datasets and work with the team into transforming them into featured algorithms for our products.
Building and implementing Machine Learning (ML) solutions to provide accurate, timely, and actionable intelligence to support business decision-making
Support and guide other researchers in learning about, applying and delivering product features driven by ML techniques.
Help develop robust model training and data infrastructure to support continuous optimisation of ML-driven approaches.
When required publish research results in national and international conferences and scientific journalsRequirements
PhD degree in Computer Science, Machine Learning or a related quantitative field
Hands-on experience using machine learning
Expert coding skills (Python, C++ are a plus)
Strong academic and research track record demonstrated through publication of papers in top scientific conferences and/or journals.Desirable
Hands-on experience using one of the following deep learning libraries:
Tensorflow, PyTorch, Theano or similar
Experience of analysing clinical/healthcare data is considered a bonusBenefits
Company share option scheme
5% employer matched Pension scheme
BUPA Health Insurance including Partners and Children cover
Free Gym Membership
Cycle to work scheme
A challenging and fun environment that rewards results
To find out more about Computer Futures please visit
Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Agency in relation to this vacancy | Registered office | 1st Floor, 75 King William Street, London, EC4N 7BE, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

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