Machine Learning / Data Scientist (Industrial IoT)

Senseye ltd
£35k to £70k (doe)
16 Apr 2017
16 May 2017
Contract Type
Full Time
Do you love machine learning and data analytics? Do you dream about new regression algorithms? Do your friends think you're a bid odd?

As long as you love complexity and data, LOTS of it, then this could be the job for you

Senseye is an exciting and rapidly expanding start up in the field of condition monitoring and prognostics. We are developing a cutting edge cloud product to provide scalable prognostics and advanced condition monitoring to the manufacturing sector. Our team of engineers consist of software engineers, UI experts, physicists and mechanical engineers. We are based in Southampton, UK, but we do also consider (UK-based) remote working positions.

We're currently implementing the art of the possible in regression, anomaly detection, optimization, forecasting, prognostics and more 'run of the mill' analytics. It certainly ain't easy. Following successful investment rounds and strong traction from large multi-national clients, we are looking to expand the Data Science team.


- BSc/MSc in Computer Science/Engineering (or other numerical discipline). Relevant PhD preferred.
- Any experience in prognostics or condition monitoring is a distinct advantage
- Experience in machine learning, including supervised and unsupervised techniques, against different data sets
- Experience in feature extraction and data cleansing
- Experience in software programming (e.g. golang, python) to implement suitable algorithms
- Experience in IoT technologies an advantage
- Strong communication skills and able to discuss complex problems with senior and junior staff and customers

Main Duties:

- Research and implement a variety of machine learning algorithms for forecasting, anomaly detection, optimisation and regression
- Keep abreast of the latest research and best practise in prognostics, machine learning and data science
- Analyse time series data to understand patterns and machine condition indicators
- Extract features and other noteworthy artefacts from data streams

Salary: £35,000 to £70,000 (depending on experience)
Location: Southampton, UK