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For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI systems for defence and national security.
- Company: Join Oxford Dynamics, a fast-growing UK deep-tech company in AI and robotics.
- Benefits: Enjoy flexible hours, rapid career growth, private healthcare, and 29 days holiday.
- Other info: Collaborative culture where every team member influences the future of the business.
- Why this job: Make a real impact in high-stakes environments while working with innovative technology.
- Qualifications: Active SC clearance and experience in building multi-agent AI systems required.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Active SC clearance is required for this role. We are hiring for multiple positions. Permanent roles. We will consider contractors with existing clearances on an initial basis.
Salary: Market rate - depending on experience
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 own features end‑to‑end - from design through to deployment in constrained environments where reliability and security matter more than speed to market.
Key Responsibilities
- Architect, build, and optimise multi‑agent AI systems using frameworks such as LangGraph, Haystack, or equivalent
- Integrate LLMs and vision‑language models into agent workflows for reasoning, search, summarisation, and task execution
- Deploy AI systems into cloud, on‑premises, and air‑gapped environments
- Build production‑ready pipelines from data ingestion through to inference
- Experience with 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
Required
- Active SC clearance
- Commercial experience 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‑premises, or sovereign cloud
Preferred
- 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
Soft Skills
- Delivery‑focused - you ship working systems, not prototypes
- Comfortable operating across the stack when needed
- Strong communicator - can 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 member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business.
Benefits include:
- Rapid career progression and personal growth
- Flexible working hours
- Opportunity to shape the future of a fast‑growing business
- Hybrid working model
- Company pension (NEST) with 4% employer contribution
- Private Healthcare
- 29 days holiday + public holidays
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.
AI Engineer - SC Cleared employer: Oxford Dynamics Limited
Contact Detail:
Oxford Dynamics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - SC Cleared
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Oxford Dynamics. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub showcasing your AI projects, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with frameworks like LangGraph and Haystack. Practice coding challenges and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Oxford Dynamics team.
We think you need these skills to ace AI Engineer - SC Cleared
Some tips for your application 🫡
Show Off Your SC Clearance: Since active SC clearance is a must for this role, make sure to highlight it right at the start of your application. We want to see that you meet this crucial requirement upfront!
Tailor Your Experience: When you're writing your application, focus on your experience with multi-agent AI systems and relevant frameworks like LangGraph or Haystack. We love seeing how your skills align with what we do at Oxford Dynamics.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Show us your communication skills right from the get-go!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Oxford Dynamics Limited
✨Know Your Clearance
Since active SC clearance is a must for this role, make sure you understand the implications and responsibilities that come with it. Be prepared to discuss your clearance status and any relevant experiences in secure environments.
✨Showcase Your Technical Skills
Be ready to dive deep into your experience with multi-agent AI systems and frameworks like LangGraph or Haystack. Prepare specific examples of projects where you've integrated LLMs or deployed AI systems, highlighting your problem-solving skills and technical expertise.
✨Understand the Company’s Mission
Familiarise yourself with Oxford Dynamics' focus on defence and national security. Reflect on how your background aligns with their mission to develop AI and robotic systems for high-stakes environments, and be ready to discuss how you can contribute to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world challenges in AI deployment. Think about past experiences where you had to make critical decisions under pressure, and be ready to explain your thought process and the outcomes.