AI Engineer - DV Cleared

AI Engineer - DV Cleared

Full-Time 60000 - 80000 £ / year (est.) Hybrid
Oxford Dynamics

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 required.

The predicted salary is between 60000 - 80000 £ per year.

Active DV 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.

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—to enable 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 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.

AI Engineer - DV Cleared employer: Oxford Dynamics

At Oxford Dynamics, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and opportunities to lead impactful projects in the thriving biotech sector. Located in a vibrant area, we provide a supportive environment where your contributions directly influence our success and the future of biotechnology.

Oxford Dynamics

Contact Details:

Oxford Dynamics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer - DV Cleared

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Oxford Dynamics or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Oxford Dynamics.

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✨Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace AI Engineer - DV Cleared

Active DV clearance
Multi-agent AI systems
Python
LLM frameworks (LangGraph, LangChain, Haystack)
AI/ML system deployment
Docker
Git

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Oxford Dynamics.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Oxford Dynamics and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Oxford Dynamics

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Oxford Dynamics uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.