Oxford Dynamics
Artificial Intelligence Engineer
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Artificial Intelligence Engineer
Contract: Permanent or Contract considered
Roles: Hiring for multiple positions
Salary: Very Competitive
Location: London
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
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 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
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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.
Benefits
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.
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