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: Be part of an inclusive team where your contributions truly matter.
- Why this job: Make a real impact in high-stakes environments while working with innovative technology.
- Qualifications: Active DV clearance and experience in building multi-agent AI systems.
The predicted salary is between 60000 - 80000 € per year.
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.
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.
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 DV 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.
Artificial Intelligence Engineer - DV Cleared in London employer: Oxford Dynamics Limited
Oxford Dynamics is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets purpose. With a strong focus on personal growth and rapid career progression, employees are empowered to make impactful contributions in the cutting-edge fields of AI and robotics. The inclusive culture, flexible working hours, and comprehensive benefits package, including private healthcare and generous holiday allowances, make it an attractive place for talented individuals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer - DV Cleared in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and robotics field. Attend meetups, conferences, or even online webinars. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to multi-agent AI systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are excited about making a difference in AI and robotics.
We think you need these skills to ace Artificial Intelligence Engineer - DV Cleared in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and robotics shine through. We want to see that you’re not just qualified, but genuinely excited about the work we do at Oxford Dynamics.
Tailor Your CV:Make sure your CV highlights relevant experience with multi-agent systems and LLM frameworks. We love seeing how your skills align with our needs, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the role. Share specific examples of your past work and how it relates to what we’re doing at Oxford Dynamics. Make it personal!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Oxford Dynamics Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of multi-agent AI systems and frameworks like LangGraph or Haystack. Be ready to discuss your hands-on experience with LLMs and how you've integrated them into workflows. This is a technical role, so showing off your expertise will definitely impress!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in deploying AI systems, especially in secure environments. Think about times when you had to make critical decisions under pressure and how you ensured reliability and security in your projects.
✨Communicate Clearly
Since you'll be working closely with engineers and product leads, practice explaining complex concepts in simple terms. You might need to present your ideas to both technical and non-technical stakeholders, so being a strong communicator is key!
✨Demonstrate Your Team Spirit
Oxford Dynamics values collaboration, so be prepared to discuss how you've worked in small teams and taken ownership of projects. Share examples of how you've contributed to team success and supported your colleagues in achieving common goals.