AI Engineer Consultant

Contract AI Engineer (Applied / Production AI)

Location: Reading / Hybrid
Contract: Initial 3-6 months (extension likely)
Start: ASAP

We're supporting a technology-driven organisation that is moving from AI experimentation into real production use cases
. They're looking for a hands-on AI Engineer to design, build and deploy AI solutions that are secure, scalable and genuinely used by the business.

This is a delivery-focused role - ideal for someone who enjoys turning AI ideas into working systems
, not just proofs of concept.

• Design and build production-ready AI solutions
  , with a strong focus on reliability and scalability
• Develop and deploy GenAI / LLM-based applications (e.g. copilots, internal tools, automation)
• Build and maintain AI services, APIs and integrations with existing platforms
• Implement data pipelines, embeddings, vector search and retrieval-augmented generation (RAG) patterns
• Work closely with engineering, product and business stakeholders to shape AI use cases
• Ensure solutions meet security, governance and performance requirements
• Contribute to best practice around AI engineering, MLOps and deployment patterns

• Proven experience as an AI Engineer / ML Engineer delivering AI into production
• Strong Python development skills
• Hands-on experience with LLMs (commercial and/or open-source)
• Experience building APIs and services around AI models
• Cloud experience (AWS, Azure or GCP)
• Familiarity with vector databases, embeddings and modern AI architectures
• Comfortable working in agile, fast-moving delivery environments

• Experience with GenAI use cases (RAG, agents, copilots, document automation)
• Exposure to MLOps
  , CI/CD and monitoring of AI systems
• Experience in regulated or enterprise environments
• Consulting or client-facing delivery experience

• Focus on real AI delivery
  , not slideware or endless Po Cs
• Opportunity to shape how AI is engineered and deployed
• Strong likelihood of extension based on delivery
• Hybrid working with a Reading base