About this role
Salary: £100,000 - 100,000 per year
Requirements: Must be eligible for active SC or DV clearanceCommercial experience building multi-agent or agentic AI systems in productionStrong Python skillsHands-on experience with LLM frameworks such as LangGraph, LangChain, Haystack, or similarExperience deploying AI/ML systems into production environmentsFamiliarity with Docker, Git, and cloud platforms, with AWS preferredUnderstanding of secure deployment patterns, including air-gapped, on-premises, or sovereign cloud environmentsExperience with multimodal reasoningExperience with edge or offline AI deploymentsFamiliarity with Kubernetes such as EKS or OpenShift for monitoring and managing deployed applicationsMLOps experience, including model evaluation, monitoring, and reproducibilityExperience with observability tooling for agentic systems, including model drift, agent behaviour, and performance monitoringExperience with agent orchestration patterns and inter-agent communication protocols such as A2AFamiliarity with MCPs for tool and context integration in agentic systemsFamiliarity with secure-by-design development principles such as ISO 27001, NIST, and OWASPExperience in defence, national security, or similarly regulated environmentsContributions to open-source AI/ML projectsDelivery-focused mindset with the ability to ship working systems, not prototypesComfortable operating across the stack when neededStrong communication skills with the ability to present to technical and non-technical stakeholdersThrives in small teams with high ownership Responsibilities: Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalentIntegrate LLMs and vision-language models into agent workflows for reasoning, search, summarisation, and task executionDeploy AI systems into cloud, on-premises, and air-gapped environmentsBuild production-ready pipelines from data ingestion through to inferenceImplement observability for AI systems, including agent behaviour, model performance, and failure modesCollaborate with engineers, product leads, and customers to translate requirements into working systemsContribute to evaluation frameworks, system integration, and performance trackingAct as a technical authority for agentic AI, setting design patterns for junior engineersOwn features end-to-end from design through to deployment in constrained environments where reliability and security matter more than speed to market Technologies: AIAWSArchitectCloudDockerGitKubernetesLLMOWASPOpenShiftPythonSecurity More:
We are a fast-growing business working on cutting-edge agentic and generative AI for defence and national security customers. This is a permanent or contract hybrid role based initially in Oxfordshire, with 2 days a week onsite and the location potentially changing to London. We offer rapid career progression, personal growth, flexible working hours, a hybrid working model, company pension with 4% employer contribution through NEST, private healthcare, and 29 days holiday plus public holidays. You will work closely with the entire team, have real ownership, make judgment calls, influence the business, and see the impact of your work every day.
last updated 32 week of 2026