Oxford Dynamics Limited

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 You'll sit at the core of our product, building the systems that make advanced AI usable in the real world. If you enjoy owning backend services end to end, care deeply about reliability and API quality, and want to work hands on with Palantir Foundry in a high impact environment, this role offers both autonomy and real impact. Backend Architecture & APIs (Primary Focus) Design and evolve scalable backend services in Python using FastAPI for high availability, high-throughput workloads. Build well versioned RESTful APIs aligned to OpenAPI/Swagger, with strong conventions for consistency, idempotency, and backward compatibility. Implement authentication and authorization using OAuth2/OIDC, session management, and fine grained permissions. Design and maintain event driven architectures and background processing pipelines (e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault tolerant integrations. Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale. Introduce caching, rate limiting, and queuing to meet performance budgets and latency goals. Integrate with AI pipelines and model serving endpoints, including streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure data exchange across the platform. Security & Reliability Write secure, well tested code (unit, integration, end to end) and uphold coding standards through code reviews. Contribute to logging, metrics, and alerting (Prometheus/Grafana, ELK/OpenSearch) for the services you build. Support compliance readiness (ISO 27001, GDPR) through secure by default design. Cross Functional & Process Collaborate closely with the engineering team, product and leadership to scope, sequence, and deliver outcomes. Translate product requirements into technical plans, breaking work into milestones with measurable success criteria. Mentor engineers on backend design and API ergonomics. Infrastructure Contributions (optional) Ship services via Docker containers with clean, minimal builds. Contribute to IaC (Terraform/CloudFormation) and CI/CD pipelines (GitHub Actions/Argo CD) alongside the DevOps team. Support cloud operations with sensible defaults, cost awareness, and environment promotion across dev/staging/prod. Required Skills & Experience SC Clearance or the ability to obtain SC (and later DV). 5+ years of professional software engineering experience, with a strong focus on backend development in Python and with event driven architectures. Hands on experience with Palantir Foundry, including working with Foundry APIs, data pipelines, ontologies, or Foundry based application development. Proven experience designing and operating production REST APIs with OpenAPI/Swagger. Deep understanding of relational database design, indexing, performance tuning, and migrations (PostgreSQL). Proficiency with containerisation (Docker) and Git based workflows. Experience with API versioning, security, documentation strategies, and automated testing. Strong problem solving skills and the ability to work independently with high ownership. Soft Skills High-agency engineer who owns outcomes end to end. Pragmatic, research driven approach with a bias to ship and iterate. Clear communicator who can talk to stakeholders of varying technical backgrounds. Comfortable defining SLAs, making trade offs explicit, and operating production systems. 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.

A leading UK tech firm is seeking an AI Engineer to develop and ship agentic AI systems. The role requires active DV clearance, expertise in Python, and hands-on experience with LLM frameworks. Responsibilities include architecting AI systems, integrating models, and deploying them in secure environments. The firm offers flexible working, career progression, and a supportive environment, committed to inclusivity for all employees.

A fast-growing deep-tech company in the UK is seeking an AI Engineer to develop and integrate agentic AI systems for defence and national security projects. The role requires active SC clearance and strong Python skills, along with experience in deploying AI solutions in complex environments. Applicants will work on cutting-edge technology, responsible for end-to-end features from design to deployment. Benefits include hybrid working, career progression, private healthcare, and a company pension scheme.

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. Salary: Market rate - depending on experience 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.

A leading UK technology firm is searching for a Backend Engineer to develop systems ensuring the usability of advanced AI in mission-critical environments. Candidates should possess over 5 years of experience in backend development using Python and have experience with Palantir Foundry. This role offers a hybrid working model and various benefits, including private healthcare and generous holiday entitlement. You'll contribute to developing scalable backend services and integrating complex data workflows.

Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-time permanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. Weoperatein some of the most complex and high stakes environments in the world - defence, national security,AIand robotics. The decisions we make now, will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership,paceand purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed tooperatein mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery,telemetryand 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,understandand act in complex, real world environments. We work with defence and security organisations internationally to help protect nations,infrastructureand lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience.We are at an important stage and time in our growth, and as a Senior AI Generative Robotics Engineer you will be an essential part of our success. You'll work at the cutting edge of agentic and generative AI, building systems that move beyond lab demos and into real world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast-moving environment, the responsibility to deliver, and the opportunity to shape how multi agent AI systems operate in complex, constrained, and high-trust environments. If you're excited by agent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Key Responsibilities Agentic AI & Generative Systems Design, build, and optimise complex multi-agent AI systems (4+ agents) using LangGraph or equivalent agentic frameworks for edge deployed, mobile robotic platforms. Develop agent reasoning, planning, memory, and tool use pipelines combining LLMs, VLLMs, and perception modules for edge deployed robotic systems. Integrate vision language models (VLMs/VLLMs) for perception, grounding, and decision making in robotic systems. Lead applied R&D for robotics across LLMs, VLLMs, and agent orchestration, translating research into robust, deployable systems for robots. Build production grade AI pipelines spanning data ingestion, model inference, agent coordination, and feedback loops. Optimise models and agents for latency, reliability, and resource constraints, particularly for edge and offline use. Robotics, Edge & Deployment Deploy agentic AI systems onto robotic and edge platforms, balancing compute, power, and network constraints. Implement inference stacks that support on device, hybrid, and disconnected operation. Package AI systems using containers and orchestration (Docker, Kubernetes/EKS/OpenShift) where appropriate. Own the end to end lifecycle of AI services you build: deployment, monitoring, optimisation, and iteration. Implement observability for AI systems, including agent behaviour, model performance, and failure modes. Infrastructure (Supporting, Not Primary) Work within secure edge environments, contributing infrastructure where required to support AI workloads. Contribute to security hardening and operational resilience for AI services in sensitive environments. Collaboration & Technical Leadership Work closely with the Oxford Dynamics' Robotics Team and Product Leads to shape system architectures. Act as a technical authority for agentic AI, setting design patterns and best practices. Mentor junior engineers in multi agent system design, VLLMs, and applied generative AI. Communicate complex AI concepts clearly to both technical and non technical stakeholders. Required Skills & Experience MOD Security Clearance (or ability/desire to obtain). Proven commercial experience delivering agentic AI systems (LangGraph or equivalent) with 4+ agents in production, LLMs, VLLMs and computer vision. Strong understanding of multi agent coordination, memory architectures, tool use, and planning. Experience deploying AI systems to edge or robotic platforms. Strong Python skills for AI development; comfortable with Bash and/or Go for automation. Experience packaging and deploying AI systems using Docker and Kubernetes. Preferred / Bonus Experience Research or commercial experience in robotics, autonomy, or embodied AI. Optimising models for constrained, offline, or sovereign deployments. Building REST services around AI and agent pipelines. Experience with observability of AI systems (model drift, agent behaviour, performance). Familiarity with secure by design development (ISO 27001, NIST, OWASP, GDPR). Soft Skills Research-driven and curious, with a strong bias toward shipping real systems. Comfortable navigating ambiguity at the frontier of agentic and generative AI. Able to bridge cutting edge research and real world deployment. Clear communicator who can mentor and influence across disciplines. Ownership mindset: from concept prototype production iteration. Why Oxford Dynamics? Join the most exciting growth area in the UK:AI and Robotics!Every member ofthe Oxford Dynamicsteam has a major impact on the products and services we provide. Regardless ofjobtitle,you'llget to make a real difference and learn from colleagues about all areas of our business. Benefits include: Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Companypension(UK Government NESTscheme)with company contributions at 4% Private Healthcare 29 daysholiday in addition to public holidays (Full Time Equivalent) 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.

A leading technology firm in the UK is seeking a Senior AI Generative Robotics Engineer. This role involves designing and optimizing complex multi-agent AI systems and deploying these solutions to edge platforms. Candidates need proven experience with agentic AI systems and a strong background in Python and AI development, as well as a desire to work in mission-critical environments. The position offers hybrid working with salary negotiable based on experience and contributions.

Contract: Permanent or Contract considered Location: Greater Oxford Area Working Pattern: Hybrid (2-3 days in office) Salary: Competitive 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 all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. 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 (OD) 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 here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as a Senior DevOps Engineer you will be an essential part of our success. We are looking for a seasoned DevOps professional with deep hands on expertise in AWS, Kubernetes and modern CI/CD who can also drive cloud native security. You will design, build and audit scalable infrastructure, automate delivery pipelines and champion cost efficient, highly available platforms while owning key processes that will help OD remain compliant with our various certifications also. Key Responsibilities Your responsibilities will include, but not limited to: End-to-end cloud ownership - architect, implement and maintain multi account, multi region environments using IaC (Terraform, CloudFormation, Helm). Platform reliability & automation - manage Kubernetes clusters (EKS/OpenShift), container registries and service meshes; create GitHub Actions / Argo CD pipelines for zero touch deployments. Security hardening - lead security posture reviews, implement GuardDuty, CloudWatch and IAM best practices. SRE & monitoring - uphold SLAs through observability stacks, proactive alerting and performance tuning of distributed systems. Collaboration & enablement - automate repetitive tasks, mentor developers and champion DevSecOps best practice across teams. Policy & audit ownership - steward the regular audits we need to put in place to remain compliant with industry standards ensuring provenance. Backup & DR - design AWS Backup plans, run annual restore drills, maintain RPO/RTO dashboards. Capacity & cost optimisation - run the monthly Capacity & Availability Checklist; leverage Compute Optimizer, Savings Plans and Graviton. Drift detection & golden images - operate Terraform/Helm drift alerts, AMI & container image pipelines with Inspector v2 scanning. Incident & hot fix response - coordinate emergency changes, rollbacks and post incident reviews. What you can bring to Oxford Dynamics A collaborative and supportive attitude to work is essential for this role. You will be expected to operate at multiple levels within the company, with a strong focus on delivery and attention to detail. You will be comfortable working alone, supporting team members as well as interacting with clients if required. Qualifications, experience and skills Proven experience in DevOps / SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/OpenShift) administration, Helm packaging and service mesh know how. Proficient in IaC (Terraform, Terraform Cloud, CloudFormation), containerisation (Docker, Docker Compose) and Linux systems. Solid CI/CD engineering with GitHub Actions and Argo CD. Experience integrating SAST and DAST best practices. Scripting in Bash and Python or Go for automation. Demonstrated success delivering cloud cost optimisation and high security solutions for enterprise clients. Expertise in implementing SSO across a variety of industry standard software. Preferred/ Bonus Experience with MLOps (Softwares such as Sagemaker, Kubeflow or ZenML). Deployment of on premise Kubernetes. Prometheus (or other stacks) observability. Experience with AWS Karpenter & Compute Optimizer. Compliance literacy - ISO 27001, NIST SSDF/OWASP SAMM, GDPR basics. Soft skills Process driven, documentation friendly mindset. "Can do" attitude, quick learner and unafraid of complex challenges. Excellent teammate with strong cross functional communication. Why This Role? You will join a culture that values secure, automated delivery and encourages experimentation. If you thrive on scaling cloud platforms, tightening security and shaving milliseconds (and money) off every deployment, we'd love to meet you. 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'll get to make a real difference and learn from colleagues about all areas of our business. Benefits include Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) 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.