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AI Engineer Hybrid

Job in London, Greater London, W1B, England, UK
Listing for: Involved Solutions
Full Time, Part Time position
Listed on 2026-06-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 85000 GBP Yearly GBP 85000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer - up to £85,000 + Bonus + Benefits - Hybrid

AI Engineer Salary: Up to £85,000 + Bonus + BenefitsLocation: Hybrid - 3 days per week onsite in Central LondonWorking Hours: Full time - Monday to Friday

We are recruiting multiple AI Engineers to join a global organisation investing heavily in AI, automation and intelligent systems. Working within a highly skilled engineering team, the AI Engineer will design, build and deploy production grade AI solutions that solve real business challenges at scale.

This AI Engineer role is a hands on engineering position suited to individuals who enjoy building end to end AI applications, working with large language models, agentic workflows and modern machine learning technologies.

Responsibilities for the AI Engineer:

  • Develop and deploy AI powered applications, services and APIs
  • Build solutions using Generative AI, Agentic AI and machine learning techniques
  • Design and optimise RAG pipelines, vector search solutions and AI workflows
  • Integrate AI capabilities into existing platforms and business systems
  • Collaborate with engineers, data specialists and business stakeholders to deliver high impact solutions
  • Contribute to technical best practice and support continuous improvement across the AI function

Essential Skills for the AI Engineer:

  • Strong Python development experience
  • Commercial experience with LLMs, prompt engineering and AI application development
  • Experience with frameworks such as Lang Chain, Lang Graph, Llama Index, CrewAI or similar
  • Experience with RAG architectures, vector databases and semantic search
  • Experience deploying AI solutions within cloud environments
  • Understanding of MLOps, LLMOps and production AI systems
  • Strong communication skills and the ability to work with technical and non technical stakeholders

If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.

AI Engineer, AI, Artificial Intelligence, Gen AI Developer

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