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City of London

AI Engineer

Posted on Wednesday, 8th July 2026

IT and Internet
City of London
£700 - 750 per day
Contract

AI Engineer – Defence Consultancy (6-Month Contract)

A defence consultancy is seeking an experienced AI Engineer to design, develop, and deploy machine learning solutions for secure, mission-critical environments. You will work across the full development lifecycle, from initial design to model deployment, optimization, and production support.

 

Position Type: 6-Month Contract

Location Requirement: British Citizenship required

Security Requirement: Must hold an active SC- DV Clearance

Rate: £700 -750 Outside

 

Key Responsibilities

  • Development: Design and build AI-enabled applications using Python, machine learning frameworks, and Generative AI/LLM components.

  • Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams.

  • MLOps: Implement model deployment, monitoring, testing, and lifecycle management using standard CI/CD and containerized workflows.

  • Architecture: Contribute to technical design decisions, trade-off analyses, and technology stack selection.

  • Collaboration: Work alongside cross-functional teams to translate complex requirements into secure, scalable, production-ready AI systems.

Requirements

  • Vetting: Active SC Clearance and British Citizenship are mandatory for this consultancy role.

  • Core Tech: Solid professional experience with Python and frameworks like PyTorch, TensorFlow, or Scikit-Learn.

  • GenAI: Hands-on experience developing LLM-based applications, RAG pipelines, and prompt engineering.

  • Infrastructure: Experience deploying applications in cloud environments (AWS, Azure, or GCP) using Docker and Kubernetes.

  • Engineering: Strong software engineering fundamentals, including version control, testing, and API/microservices architecture.

Desirable Extras

  • Experience with MLOps platforms (e.g., MLflow, SageMaker) or agentic AI frameworks.

  • Familiarity with secure development practices or regulated/high-compliance environments.

  • Background in NLP, computer vision, or data engineering platforms.

 

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