Oxford Dynamics
Artificial Intelligence Engineer
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Artificial Intelligence Engineer
Contract: Permanent or Contract considered (Hybrid) Roles: Hiring for multiple positions Salary: Very Competitive Location: Oxford / London
Security Clearance
This role requires eligibility for UK security clearance (BPSS and SC). SC requires 5 years of continuous UK residency. An active SC or DV clearance is a strong advantage. If you are not currently eligible, we will not be able to progress with your application.
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.
- 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 for 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 collaborate with defence and security organisations internationally to help protect nations, infrastructure, and lives.
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What You Will Be Doing
We are seeking 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
- Integrations of large language models (LLMs) and vision-language models into real workflows
- Deployments in secure and air-gapped environments for defence and national security customers
This is a delivery role. You will own features end-to-end—from design through to deployment in constrained environments where reliability and security matter over speed.
Key Responsibilities
- Architect, build, and optimise multi-agent AI systems (LangGraph, Haystack, or equivalent)
- Integrate LLMs and vision-language models for reasoning, search, summarisation, and task execution
- Deploy AI systems into cloud, on-premises, and air-gapped environments
- Build production-ready pipelines (data ingestion → inference)
- Gain observability for AI systems, including agent behaviour, model performance, and failure modes
- Collaborate with engineers, product leads, and customers to translate requirements into working systems
- Contribute to evaluation frameworks, system integration, and performance tracking
- Act as a technical authority for agentic AI, setting design patterns for junior engineers
Requirements
Core:
- Commercial experience in building multi-agent or agentic AI systems in production
- Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar)
- Experience deploying AI/ML systems into production environments
- Familiarity with Docker, Git, and cloud platforms (AWS preferred)
- Understanding of secure deployment patterns (air-gapped, on-prem, sovereign cloud)
Preferred:
- Experience with multimodal reasoning
- Experience with edge or offline AI deployments
- Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing applications
- MLOps experience: model evaluation, monitoring, reproducibility
- Observability tools for agentic systems (model drift, agent behaviour, performance monitoring)
- Experience with agent orchestration patterns (e.g., Agent-to-Agent communication)
- Familiarity with MCP (Modular Conversation Pipeline) frameworks (tool/context integration)
- Knowledge of secure-by-design principles (ISO 27001, NIST, OWASP)
- Background in defence, national security, or similarly regulated environments
- Open-source contributions to AI/ML projects
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An active SC or DV clearance is a strong advantage.
Soft Skills
- Delivery-focused: You ship working systems, not prototypes.
- Comfortable operating across the stack when needed.
- Strong communicator—able to present to technical and non-technical stakeholders.
- Thrives in small teams with high ownership.
Why Oxford Dynamics?
Join the most exciting growth area in the UK: AI and Robotics! Every Oxford Dynamics team member has a major impact on our products and services.
At Oxford Dynamics:
- Career progression and personal growth are rapid.
- You’ll get to shape the future of a fast-growing business.
- Solid benefits and inclusive culture ensure your success.
Key Benefits Include:
- Flexible hybrid working pattern
- Private health care coverage
- 29 days holiday + public holidays
- Company pension (NEST) with 4% employer contribution
Our Commitment to Inclusion: Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.
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