Senior Scientific Software Engineer
V85102776
£450 - £500 Per Day
Temporary
Exeter
Public Sector
Posted 15 days ago
Expires In 12 Days
Job Description
Senior Scientific Software Engineer
9 Month Contract
£450/day (Inside IR35)
Remote
Role Purpose
The focus of this role will be adding technical leadership to complement existing scientific leadership to an existing team of software engineers and data scientist. The role will support the existing project manager to lead on effective agile delivery practises. Further, the role will build technical understanding of the challenges around this machine learning activity and develop, and monitor against, a technical roadmap to address them. This is a flexible role, paying around £450/day (Inside IR35).
9 Month Contract
£450/day (Inside IR35)
Remote
Role Purpose
The focus of this role will be adding technical leadership to complement existing scientific leadership to an existing team of software engineers and data scientist. The role will support the existing project manager to lead on effective agile delivery practises. Further, the role will build technical understanding of the challenges around this machine learning activity and develop, and monitor against, a technical roadmap to address them. This is a flexible role, paying around £450/day (Inside IR35).
- Supported by the project manager, act as Scrum Master and facilitate the delivery team to work effectively.
- Lead the development of technical plans and roadmaps for the FastNet capability
- With the assistance of the development team and project manager monitor progress against and adapt roadmaps escalating via the project manager when this effects milestones/deliverable.
- Assist, mentor and develop team members; build capability and capacity for the team.
- Respond to pull requests; review and refactor prototype science code for efficiency and robustness
- Expert knowledge of Python, knowledge of quality assurance with Python, especially testing and documentation.
- Expert knowledge of agile development practices, specifically the Scrum framework.
- Knowledge of developing and deploying machine learning workflows on cloud platforms such as AzureML.
- Knowledge of working with large structured and unstructured datasets, ideally geospatial data.
- Ability to mentor and develop others
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