At a Glance
- Tasks: Build and deploy cutting-edge AI systems for defence and national security.
- Company: Join Oxford Dynamics, a fast-growing 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: Experience in AI systems, strong Python skills, and SC clearance eligibility required.
The predicted salary is between 60000 - 80000 € per year.
Contract: Permanent or Contract considered
Location: Greater Oxford Area
Working Pattern: Hybrid (2-3 days in office)
Salary: Competitive
Expertise: Experience and/or background in the Navy or Naval vessels/projects is highly desirable for this role.
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 or eligibility for 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.
Artificial Intelligence Engineer - Naval Background employer: Oxford Dynamics Limited
Oxford Dynamics is an exceptional employer, offering a dynamic work environment in the Greater Oxford Area 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 hybrid working model, competitive benefits including private healthcare and generous holiday allowance, and a commitment to inclusivity make it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer - Naval Background
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those with a naval background. Use platforms like LinkedIn to connect and engage with professionals at Oxford Dynamics or similar companies.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding of AI systems. Be ready to discuss your experience with multi-agent AI and how it relates to real-world applications, especially in defence.
✨Tip Number 3
Showcase your passion for AI and robotics! During interviews, share your thoughts on the future of these technologies and how they can impact national security. This will demonstrate your enthusiasm and alignment with Oxford Dynamics' mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our team at Oxford Dynamics.
We think you need these skills to ace Artificial Intelligence Engineer - Naval Background
Some tips for your application 🫡
Show Off Your Naval Experience:If you've got a background in the Navy or have worked on naval projects, make sure to highlight that! We want to see how your unique experiences can contribute to our mission at Oxford Dynamics.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences that relate to the role.
Tailor Your Application:Make your application specific to the AI Engineer role. Mention relevant projects you've worked on, especially those involving multi-agent systems or AI deployments. This helps us see how you fit into our team!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Oxford Dynamics!
How to prepare for a job interview at Oxford Dynamics Limited
✨Know Your Naval Background
Make sure to highlight your experience in the Navy or with naval vessels during the interview. This role values that background highly, so be prepared to discuss how your experiences can contribute to the complex environments Oxford Dynamics operates in.
✨Showcase Your AI Expertise
Be ready to dive deep into your knowledge of multi-agent AI systems and frameworks like LangGraph or Haystack. Prepare examples of projects where you've integrated large language models or deployed AI systems, as this will demonstrate your hands-on experience and technical authority.
✨Understand the Security Landscape
Since this role involves secure deployments, brush up on your understanding of air-gapped environments and secure-by-design principles. Be prepared to discuss how you’ve ensured reliability and security in past projects, as this is crucial for the defence and national security sectors.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You’ll need to present ideas to both technical and non-technical stakeholders, so being a strong communicator will set you apart. Think about how you can convey your passion for AI and robotics clearly and engagingly.
