AI Engineer
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 life cycle, 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.
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Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams.
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MLOps: Implement model deployment, monitoring, testing, and life cycle management using standard CI/CD and containerized workflows.
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Architecture: Contribute to technical design decisions, trade-off analyses, and technology stack selection.
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Collaboration: Work alongside cross-functional teams to translate complex requirements into secure, scalable, production-ready AI systems.
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Vetting: Active SC Clearance and British Citizenship are mandatory for this consultancy role.
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Core Tech: Solid professional experience with Python and frameworks like PyTorch, TensorFlow, or Scikit-Learn.
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GenAI: Hands-on experience developing LLM-based applications, RAG pipelines, and prompt engineering.
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Infrastructure: Experience deploying applications in cloud environments (AWS, Azure, or GCP) using Docker and Kubernetes.
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Engineering: Strong software engineering fundamentals, including version control, testing, and API/microservices architecture.
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Experience with MLOps platforms (eg, MLflow, SageMaker) or agentic AI frameworks.
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Familiarity with secure development practices or regulated/high-compliance environments.
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Background in NLP, computer vision, or data engineering platforms.