Applied AI Systems Engineer - Outside IR35 - ideally SC cleared
Posted Today by fortice
£600 Per day
Outside
Remote
Remote, UK
Summary: The Applied AI Systems Engineer role is a contract position focused on the development and deployment of AI-enabled systems in secure operational environments. The engineer will engage in hands-on engineering tasks, including software development and infrastructure support, across various deployment environments. This position requires collaboration throughout the delivery lifecycle, from prototyping to operational support. Candidates should have a strong technical background and experience in mission-oriented settings.
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
Key Skills:
- 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
Salary (Rate): £600/day
City: undetermined
Country: UK
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
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