Artificial Intelligence Engineer - DV Cleared
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.
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
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
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.
Recommended Jobs
Spanish Specialist Tutor - Online & In-Person | Flexible...
FindTutors is one of the leading platforms for private tutoring and personalised education in the United Kingdom. We connect students with qualified tutors across languages and academic subjects, ma…
Nursery Assistants
Salary: £12.50-£13.50 per hour The Role Under the guidance of senior staff, you will provide the highest level of care and education for all children attending the setting. Aims • …
Senior Management Accountant - London
Senior Management Accountant We are looking for a Senior Management Accountant to join the team. Our client is an international movement, is an evangelical part of the universal Christian Churc…
Finance Manager (Fast Growth FMCG)
Job Description FINANCE MANAGER - FAST GROWING FMCG BRAND - £60-70K + BENEFITS Your new company I’m partnering with a growing FMCG business that is expanding into new markets and strengthening i…
School HR Manager
This is a full time, permanent position. The working hours are from 8.30 am 5.00 pm, Monday to Friday, 37.5 hours week for 52 weeks a year Salary £55,000 to £70,000 MAIN PURPOSE OF JOB The…
Year 1 Teacher - Richmond
A popular, well-resourced Richmond primary is seeking an enthusiastic and skilled Year 1 Teacher to join its KS1 phase on a Full-Time basis from January 2026. The successful Year 1 Teacher will be in…
People Aged 17-60 Required for Snack Brand Shoot Tuesday 19th May. Paid
We are looking for people aged 17-60 for a snack brand shoot taking place Tuesday 19th May London locations Payment £140 Likely shooting outdoors Payment is subject to Talent Talks…
Live-in Nanny, Job ID J20774
A family based in Mile End is looking for an experienced, professional, and flexible live-in nanny to provide support to their household. All general nanny and housekeeping duties are involved in the…