About this role
Salary: £40,000 - 45,000 per year
Requirements
- Practical experience designing, developing, deploying, or supporting AI-enabled applications, integrations, and workflow automations
- Working knowledge of LLMs, RAG, semantic search, AI agents, and Model Context Protocol
- Experience deploying and operating applications across Linux systems, containers, and virtual machines
- Experience with monitoring, patching, backup, and recovery in application environments
- Experience working with APIs, structured data, system integrations, authentication, and role-based access control
- Familiarity with source control and automation or scripting
- Understanding of secure development, AI governance, information security, data protection, auditability, and responsible AI principles
- Strong analytical and troubleshooting skills, with clear communication and documentation
Responsibilities
- Design, prototype, deploy, and support secure AI applications, assistants, agents, knowledge systems, and workflow automations using approved Microsoft, cloud-hosted, and local platforms
- Develop RAG, semantic search, and knowledge-management solutions that safely connect AI to approved systems, documents, databases, and APIs
- Design, deploy, and govern MCP servers, clients, and tools to securely connect AI applications to approved business systems and data
- Implement safeguards including authentication, least-privilege permissions, input validation, audit logging, and human approval for sensitive actions
- Evaluate AI models, platforms, suppliers, and use cases for accuracy, security, privacy, data residency, performance, cost, and long-term supportability
- Help define and maintain AI governance, risk assessments, and technical standards
- Apply secure-by-design controls, including data classification, encryption, secrets management, role-based access, and separation of development, test, and production environments
- Protect against AI-related risks, including data leakage, prompt injection, malicious content, insecure outputs, unsafe tool use, and excessive agent permissions
- Monitor AI services for unusual activity, failures, and unexpected behaviour
- Support and improve relevant business systems to enable AI adoption and operational improvement
- Deploy, configure, and manage secure AI applications and supporting services across Linux systems, containers, and virtual machines, including monitoring, patching, backup, and recovery
Technologies
- AI
- AI Agents
- Cloud
- Support
- Linux
- MCP
- RAG
- Security
More
We are a growing maritime technology and defence business seeking a permanent, on-site AI Engineer to help us develop secure AI capabilities across the organisation. The role supports practical AI adoption across Engineering, Production, Manufacturing, IT and Security, and wider corporate functions, with the aim of improving productivity, decision-making, access to information, and operational efficiency. We offer 25 days of annual leave plus paid bank holidays, additional annual leave after two years of service (up to five days), holiday buy or sell options (up to five days per calendar year), and flexible working with core hours from 10:00 to 15:00, subject to departmental requirements.
Benefits also include optional family private medical insurance, a pension scheme with a 5% employer contribution, life assurance of three times salary, group income protection, a health care cash plan, Cycle to Work and Electric Car schemes, an Employee Assistance Program, and professional membership reimbursement.
last updated 46 week of 2026