SC Cleared MLOps Engineer Job in Devon

TN United Kingdom; Devon and Torbay; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading company is seeking an MLOps Engineer for a 6-month contract, primarily remote with occasional site meetings. The role focuses on collaborating with scientists to enhance machine learning weather models through software quality assurance and integration into workflows. Candidates should have strong Python skills and experience in deploying workflows.

Qualifications

• Experience with software quality assurance in Python, including testing, documentation, and packaging.
• Experience creating and deploying workflows.
• Ability to handle environmental data using suitable tools.

Responsibilities

• Review and refactor prototype science code for efficiency and robustness.
• Integrate science code into workflows on various platforms.
• Promote coding best practices, including the use of appropriate tools.

Skills

Software quality assurance in Python

Creating and deploying workflows

Handling environmental data

Job description

Social network you want to login/join with:

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Client:

Salt

Location:

Unknown

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

f70b79d2f46f

Job Views:

4

Posted:

23.05.2025

Expiry Date:

07.07.2025

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Job Description:

Salt is currently partnered with a Central Government agency in the Southwest of England, seeking a MLOps Engineer for an initial 6-month contract. The role is primarily remote, with occasional travel to the site for team meetings.

The role is INSIDE IR35 & paying £ per day via Umbrella.

Role

The focus is on collaborating with scientists to develop code for new scientific evaluations of machine learning weather models. Responsibilities include optimizing robustness, performance, and reusability through software quality assurance practices. The role also involves promoting coding best practices, ensuring adherence through appropriate infrastructure such as tests and documentation, and integrating code into project workflows across platforms to facilitate routine use by researchers.

Responsibilities and Skills

As the project codebase grows, maintaining good software quality assurance, including principles of MLOps, is essential. The role involves integrating scientific developments into a robust, reusable, and extensible workflow on both on-premises Linux clusters and cloud ML platforms.

Key Responsibilities

• Review and refactor prototype science code for efficiency and robustness
• Integrate science code into workflows on various platforms
• Promote coding best practices, including the use of appropriate tools
• Contribute new scientific code functionalities to open-source libraries

Key Skills

• Experience with software quality assurance in Python, including testing, documentation, and packaging
• Experience creating and deploying workflows
• Ability to handle environmental data using suitable tools