Oxford Dynamics
deep-tech
ArtificialIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Artificial Intelligence Engineer at Oxford Dynamics. Skills: Agentic AI systems, Multi-agent AI systems, LLM integration, Vision-language model integration, Production deployment of AI systems. Architect, build, and optimise multi-agent AI systems. Integrate LLMs and vision-language models into agent workflows for reasoning, search, summarisation, and task execution”
What You'll Achieve.
Build and ship agentic AI systems in production; Make better decisions under pressure; Protect people while extending operational reach; Converge AI and robotics so machines can sense, understand and act in complex, real-world environments; Help protect nations, infrastructure and lives; Ship working systems, not prototypes; See the impact of your work every day
Industry & Context.
Reasoning
Secure and air-gapped environments, Constrained environments where reliability and security matter more than speed to market, An active SC or DV is highly desirable for these roles
What They're Looking For.
Must Have
Commercial experience building multi-agent or agentic AI systems in production, Python skills, Experience deploying AI/ML systems into production environments, Familiarity with Docker, Familiarity with Git, Familiarity with cloud platforms, 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.
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
Experience with observability for AI systems
including agent behaviour
Collaborate with engineers
and customers to translate requirements into working systems
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
Collaborate with engineers, product leads, and customers to translate requirements into working systems; Work closely with the entire team; Learn from colleagues about all areas of our business
Communication Scope
Communicator - can present to technical and non-technical stakeholders
Process & Methodology
Own features end-to-end - from design through to deployment
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 ow
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