AI Engineer: From Research to Production in GenAI

Understanding Recruitment

Nottingham

On-site

GBP 65,000 - 95,000

Full time

14 days+

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Benefits offered by this job

30 days holiday + bank holidays
equity/options
Pension

Job summary

Understanding Recruitment is partnering with a fast-growing UK AI company to recruit an AI Engineer who bridges research and engineering, turning ideas into robust production systems.

You will take new ML models from research into production, work across traditional ML, deep learning, transformers, and Generative AI, and collaborate with researchers, academics, product and engineering teams to shape technical roadmaps.

Qualifications

  • Strong Python and SQL skills.
  • Experience deploying ML into production.
  • Solid knowledge of traditional ML techniques.
  • Understanding of deep learning and transformers.
  • Exposure to Generative AI.
  • Statistical knowledge and interest in causal modelling.
  • Experience with GitHub and CI/CD.
  • MSc or PhD is beneficial, but not essential.

Responsibilities

  • Take new ML and AI models from research into production.
  • Work across traditional ML, deep learning, transformers and Generative AI.
  • Build solutions around large-scale, complex datasets.
  • Work closely with researchers, academics, product and engineering teams.
  • Contribute to architecture and longer-term technical roadmaps.
  • Lead and contribute to R&D sprints.
  • Build reliable, high-quality ML software.

Skills

Python
SQL
ML deployment
Traditional ML
Deep learning
Transformers
Generative AI
Causal modelling

Education

MSc or PhD beneficial

Tools

GitHub
CI/CD

Job description

Understanding Recruitment is partnering with a fast-growing UK AI company to recruit an AI Engineer who bridges research and engineering, turning ideas into robust production systems.

You will take new ML models from research into production, work across traditional ML, deep learning, transformers, and Generative AI, and collaborate with researchers, academics, product and engineering teams to shape technical roadmaps.

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