Oxford Dynamics
AI and robotics
ArtificialIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Artificial Intelligence Engineer at Oxford Dynamics. Skills: Agentic AI, Generative AI, Multi-agent systems, LLM integration, Production deployment, Secure environments. Build and ship agentic AI systems in production. Design multi-agent pipelines”
What You'll Achieve.
Ship working systems, not prototypes; See the impact of your work every day; Converge AI and robotics so machines can sense, understand and act in complex, real-world environments; Help protect nations, infrastructure and lives
Industry & Context.
Reasoning
Active DV clearance, Secure and air-gapped environments, On-premises deployments, Sovereign cloud deployments
What They're Looking For.
Must Have
Active DV clearance, Commercial experience building multi-agent or agentic AI systems in production, Python skills, Hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar), Experience deploying AI/ML systems into production environments, Familiarity with Docker, Familiarity with Git, Familiarity with cloud platforms (AWS preferred), Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloud
Nice to Have
Experience with multimodal reasoning, Experience with edge or offline AI deployments, Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications, MLOps experience - model evaluation, monitoring, reproducibility, Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring), Experience with agent orchestration patterns and inter-agent communication protocols (e.g. A2A), Familiarity with MCPs for tool and context integration in agentic systems, Familiarity with secure-by-design development principles (ISO 27001, NIST, OWASP), Experience in defence, national security, or similarly regulated environments, Contributions to open-source AI/ML projects
What You'll Do.
Build and ship agentic AI systems in production
Design multi-agent pipelines
Integrate large language models and vision-language models into real workflows
Deploy AI systems into secure and air-gapped environments
Own features end-to-end - from design through to deployment
and optimise multi-agent AI systems
Integrate LLMs and vision-language models into agent workflows for reasoning
Deploy AI systems into cloud
and air-gapped environments
Build production-ready pipelines from data ingestion through to inference
Ensure observability for AI systems
including agent behaviour
Contribute to evaluation frameworks
and performance tracking
Act as a technical authority for agentic AI - setting design patterns for junior engineers
How You'll Work.
Team & Collaboration
Work closely with the entire team; Collaborate with engineers, product leads, and customers to translate requirements into working systems
Communication Scope
Can present to technical and non-technical stakeholders
Full Job Description
**Artificial Intelligence Engineer** **Contract: Permanent or Contract considered** **Roles: Hiring for multiple positions** **Salary: Very Competitive** **Location: London** _**A NOTE FROM THE FOUNDERS**_ Oxford Dynamics is at an inflection point. We operate in some of the most complex and high-stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. **Who We Are** Founded in 2020, Oxford Dynamics is a fast-growing UK deep-tech company developing AI and robotic systems designed to operate in mission-critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi-modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real-world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. **What You Will Be Doing** We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi-agent pipelines, integrating large language models and vision-language models into real workflows, and deploying them into secure and air-gapped environments for defence and national security customers. This is a delivery role. You will o
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