DV Cleared Senior AI Engineer

DV Cleared Senior AI Engineer

Location: London (Hybrid)

Contract Type: Contract

Day rate: 700 Outside

Clearance Required: Active UK DV Clearance (Mandatory)

The Opportunity

We are partnering with a premier UK deep-tech venture that sits at the cutting edge of AI, robotics, and national security. They build advanced software frameworks that fuse complex, multi-modal data streams (sensor feeds, telemetry, imagery, and text) to enable Real Time decision-making in high-stakes, mission-critical environments.

With multiple positions open due to rapid growth, they are looking for production-focused AI Engineers who want high ownership, fast-paced delivery, and the chance to deploy agentic systems that protect critical national infrastructure and save lives.

Key Responsibilities

• Architect & Build: Design, optimize, and scale robust multi-agent AI pipelines and orchestration frameworks.
• Model Integration: Integrate LLMs and vision-language models (VLMs) into workflows optimized for reasoning, search, and autonomous task execution.
• Secure Deployment: Package and deploy AI systems into highly secure, cloud, on-premises, and air-gapped environments.
• Production MLOps: Build end-to-end data ingestion and inference pipelines with a heavy focus on system reliability over raw speed to market.
• Observability & Evaluation: Implement monitoring tooling to track agent behavior, model performance, drift, and unexpected failure modes.
• Technical Leadership: Serve as a subject matter expert for agentic AI, helping establish engineering patterns and mentoring junior developers.

Technical Requirements

Must-Have:

• Active UK DV Clearance. (Applications without this cannot be considered).
• Commercial AI Delivery: A proven track record of shipping multi-agent or agentic AI frameworks into live production environments.
• Core Software Engineering: Exceptional Python skills alongside hands-on experience with LLM orchestration tools (eg, LangGraph, LangChain, Haystack, or similar).
• Modern DevOps: Strong experience with Docker, Git, and cloud infrastructure.
• Secure Architecture: Solid comprehension of secure-by-design principles and deployment patterns for sovereign clouds or disconnected networks.

Great-to-Have:

• Experience with edge computing, offline AI deployments, or local model execution.
• Familiarity with Kubernetes (EKS/OpenShift) for container management and application monitoring.
• Knowledge of advanced agent orchestration protocols (eg, A2A communication) and Model Context Protocols (MCPs).
• Familiarity with secure development frameworks (OWASP, NIST, ISO 27001).
• Background working in Defence, GovTech, aerospace, or similarly regulated sectors.