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.

Make sure to apply with all the requested information, as laid out in the job overview below.

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 (e.g., 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 (e.g., A2A communication) and Model Context Protocols (MCPs). xkybehq

Familiarity with secure development frameworks (OWASP, NIST, ISO 27001).

Background working in Defence, GovTech, aerospace, or similarly regulated sectors.