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 that values authenticity and diverse perspectives.
- 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 familiarity with LLM frameworks.
The predicted salary is between 72000 - 88000 £ 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, be trusted with judgment calls, influence the business, and 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
Requirements
- 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
- 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
- An active SC or DV is highly desirable for these roles
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
Benefits
- 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.
- 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 employer: Physics World
Physics World is an excellent employer, offering a supportive work culture that values collaboration and innovation within the Science Department. Employees benefit from a comprehensive pension scheme, nutritious meals in the Dining Hall, and access to outstanding facilities such as gyms and pools, all while contributing to meaningful educational experiences in a vibrant academic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨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 Physics World 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 Physics World.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Physics World.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Physics World that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Artificial Intelligence Engineer
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 Physics World.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Physics World 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 Physics World
✨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 Physics World 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.