Applied AI Systems Engineer - Outside IR35 - ideally SC cleared at fortice, Remote, 12 Months, £600 per day

Applied AI Systems Engineer - Contract Opportunity

• UK-based
• SC clearance preferred
• Remote-first, with flexibility to support deployments when required
• Initial 12-month contract with potential extensions for up to a further 2 years

Fortice are looking for an Applied AI Systems Engineer to support the development and deployment of AI-enabled systems across secure operational environments.

This is a hands-on engineering role focused on building, deploying, and supporting mission-oriented capability across cloud, on-premise, and air-gapped infrastructure. The position combines software engineering, AI systems, Linux infrastructure, and operational technical delivery within fast-moving, high-accountability environments.

The role

You'll work across the full delivery lifecycle - from prototyping and deployment through to operational support - helping turn emerging requirements into reliable technical capability.

Key responsibilities

• Designing, building, and deploying AI-enabled applications and operational tooling
• Supporting deployments across cloud, on-premise, and offline/air-gapped environments
• Configuring and troubleshooting Linux systems, GPU infrastructure, networking, and deployment environments
• Building APIs, dashboards, and operational interfaces using technologies such as FastAPI, React, Streamlit, and TypeScript
• Supporting AI inference platforms, RAG pipelines, vector databases, and local LLM deployments
• Packaging and transferring technical capability into secure or disconnected environments
• Rapid prototyping for operational use cases, demonstrations, and evolving requirements
• Producing deployment documentation, technical guides, and operational SOPs
• Working directly with both technical and non-technical stakeholders during deployments and delivery activity
• Contributing to wider architecture, infrastructure, and technical design decisions

What we're looking for

• Strong experience with Python, TypeScript, Bash, and Linux environments
• Hands-on experience with Docker, secure infrastructure, and cloud/on-prem deployments
• Experience supporting AI-enabled systems and GPU-based workloads
• Strong troubleshooting and systems engineering skills
• Previous experience within defence, secure, or mission-focused environments
• Understanding of secure-by-design principles and operational deployment constraints
• Comfortable working in fast-moving environments with evolving requirements