AI Engineer

Harnham
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
£75,000.0 - £85,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Applications Architecture Microsoft Azure Continuous Integration Python (Programming Language) Machine Learning Software Engineering Large Language Models Model Validation Generative AI Containerization Machine Learning Operations
+2 more
Virtual Agents Databricks

Job description

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

Requirements

  • 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

Skills

  • AzureML
  • LLMs
  • Databricks
  • Python

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