AI Engineer
Harnham - Data & Analytics Recruitment · South East London · posted 31 days ago
Going rate £58,700UK median £60,303
Home Office going rates from
Occupation
Going rate for this occupation: £58,700 · UK median pay £60,303
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£75,000 to £85,000stated · above the range ONS published
- Going rate£58,700
- UK median£60,303
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £33,986 |
| 25th | £43,003 |
| 50th | £60,303 |
| 75th | £73,899 |
| Going rate | £58,700 |
| UK median | £60,303 |
Sponsorship
Sponsorship chance
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- A recruitment agency posted this advert, so the employer who would hold the licence is not named.
Why
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AI Engineer
London (Hybrid, 3 days per week)
This is an opportunity to join a newly formed AI function at a pivotal stage of growth. You'll work on high-impact AI initiatives across machine learning, Generative AI and Agentic AI, helping to shape how AI is adopted and scaled across a major organisation.
The Company
Our client is investing significantly in AI as part of a large-scale transformation programme. Operating through a central AI Centre of Excellence, they are building scalable, production-ready AI solutions that deliver measurable business value. This is a chance to join early, influence standards and best practice, and play a key role in a growing AI engineering team.
The Role
You will:
Design, build and deploy AI and machine learning solutions from concept to production Develop applications using LLMs, Generative AI and Agentic AI frameworks Deliver predictive, optimisation and automation use cases Build robust MLOps and LLMOps processes, including monitoring and evaluation Work closely with engineers, data scientists, product teams and business stakeholders Help establish AI engineering standards, governance and responsible AI practices Contribute to the long-term technical direction of the AI team
Your Skills & Experience
Strong Python and software engineering background Commercial experience delivering machine learning models into production Hands-on experience with GenAI, LLMs and AI application development Knowledge of MLOps, LLMOps, CI/CD and containerisation Experience with cloud platforms, ideally Azure Understanding of model evaluation, monitoring and responsible AI Strong communication skills with the ability to translate business requirements into technical solutions
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