Senior AI Research Engineer - Ocean Data & Models

National Oceanography Centre

Southampton

Hybrid

GBP 40,000 - 55,000

Full time

14 days+
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Benefits offered by this job

30 days annual leave plus bank holidays
10% employer pension contribution
Financial support for relocation
Cycle2Work scheme
Employee Assistance Programme

Job summary

A leading oceanographic research institution in the UK is looking for an AI Research Software Engineer to develop AI infrastructure and models that advance marine sciences. This full-time role offers the opportunity to lead teams and work within a vibrant community focused on innovative oceanographic research. The position is based in Southampton or Liverpool and supports hybrid working arrangements. The ideal candidate has a strong background in AI and data science in a research setting, aiming for impactful environmental outcomes.

Qualifications

  • Experience developing AI and data science infrastructure in a research environment.
  • Strong track record in environmental sciences and collaborative projects.
  • Ability to engage widely to embed AI across ocean observations.

Responsibilities

  • Develop AI infrastructure and models to advance marine sciences.
  • Lead and collaborate with teams to innovate oceanographic research capabilities.
  • Contribute to the NOC’s Digital Science function.

Skills

AI model development
Data science infrastructure
Collaboration in research

Education

Relevant degree in computer science or related field

Tools

Python
Machine learning frameworks

Job description

A leading oceanographic research institution in the UK is looking for an AI Research Software Engineer to develop AI infrastructure and models that advance marine sciences. This full-time role offers the opportunity to lead teams and work within a vibrant community focused on innovative oceanographic research. The position is based in Southampton or Liverpool and supports hybrid working arrangements. The ideal candidate has a strong background in AI and data science in a research setting, aiming for impactful environmental outcomes.
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