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Senior Engineer - Scientific, £500, 9 Months

Bangura Solutions
Exeter
11 months ago
Applications closed

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Senior Software Engineer, Machine Learning Services (MLS)

An exciting opportunity has become available with our prestigious client who is a prominent government department. The client is seeking an experienced Senior Scientific Software Engineer.

This role would suit a Technical Lead, Certified Scrum master with expert knowledge of Python, knowledge of quality assurance with Python, especially testing and documentation


Role will include:


  • Acting as Scrum Master and facilitate the delivery team to work effectively
  • Leading the development of technical plans and roadmaps for the FastNet capability
  • Monitoring progress against and adapt roadmaps escalating via the project manager when this effects milestones/deliverables
  • Responding to pull requests; review and refactor prototype science code for efficiency and robustness
  • Working as part of a team to incorporate new scientific developments into the FastNet code base
  • Reviewing and promote coding best practices for the project, including use of appropriate tools to facilitate this.


Essentials


  • 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 AZURE
  • Knowledge of working with large structured and unstructured datasets, ideally geospatial data
  • Maintain good documentation and promote knowledge transfer to other team members through pair programming, coaching, and team discussions.
  • Ability to mentor and develop others
  • Active SC Clearance is preferred. Must be eligible for SC Clearance



Minorities, women, LGBTQ+ candidates, and individuals with disabilities are encouraged to apply.


Interviews will take place next week, so please apply immediately to be considered for this exciting contract opportunity.

Minorities, women, LGBTQ+ candidates, and individuals with disabilities are encouraged to apply.

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