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The role is INSIDE IR35 & paying £501.19 per day via Umbrella.
Role
The focus of this role is working with scientists in the team to develop code for new science in evaluating machine learning weather models. This will include optimising robustness, performance and reusability through appropriate software quality assurance. The role will also be about promoting coding good practice and ensuring it is followed through the use of appropriate infrastructure for software quality assurance, such as tests and documentation. The final element will be to incorporate this code into the project workflows on different platforms, to enable it to be run routinely by other researchers as part of the ML weather model experimentation toolset being developed.
Responsibilities and Skills
As the project codebase expands, we need to ensure we adopt good software quality assurance including principals of MLOps. We also need to incorporate scientific developments into a robust, reusable extensible workflow running on the on-prem Linux cluster as well as cloud ML platforms.
Key Responsibilities
Key Skills
Location: High Wycombe (Hybrid) Rate: £500-£600 per day (Outside IR35) Duration: 12 months We're working with a well-established organisation that's looking for a Platform Engineer to support and enhance a…
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