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Oxford Dynamics

Oxford Dynamics

www.oxdynamics.com

3 Jobs

17 Employees

About the Company

Working at the cutting-edge of 'embodied intelligence' - the convergence of AI & edge computing - Oxford Dynamics vision is to produce intelligent machines able to sense, decide, and act in complex environments. Along this journey, the OD team is producing agentic AI technologies such as AVIS, our enterprise-level modular software platform to process complex multi-modal data using natural language. Founded in 2020 by Shefali Sharma, Dr Edward Jackson and Mike Lawton, Oxford Dynamics brings together a unique blend of battle-hardened serial tech entrepreneurial expertise, cutting-edge Artificial Intelligence research and robotics. Oxford Dynamics undertakes work for various government entities whilst developing its core intellectual property for dual-use exploitation. Oxford Dynamics is located at the RAL Science & Technology Campus, South Oxfordshire, United Kingdom.

Listed Jobs

Company background Company brand
Company Name
Oxford Dynamics
Job Title
Senior DevOps Engineer
Job Description
**Job title:** Senior DevOps Engineer **Role Summary:** Lead end‑to‑end cloud infrastructure and deployment pipelines for a deep‑tech AI‑robotics company operating in defence and national security environments. Design, build, and maintain scalable, secure, and cost‑efficient AWS and Kubernetes platforms while enforcing compliance, SRE best practices, and DevSecOps culture. **Expectations:** - Own multi‑account, multi‑region cloud architecture using IaC (Terraform, CloudFormation, Helm). - Build and audit highly available, secure Kubernetes clusters (EKS/OpenShift) and associated CI/CD pipelines. - Champion security hardening, monitoring, and incident response. - Deliver continuous cost optimisation and compliance audits. - Mentor and enable cross‑functional teams in DevSecOps practices. **Key Responsibilities:** - Architect and maintain multi‑region AWS environments (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Control Tower). - Manage Kubernetes clusters, container registries, service meshes; create GitHub Actions / Argo CD pipelines for zero‑touch deployments. - Lead security‑posture reviews; implement GuardDuty, CloudWatch, IAM best practices. - Maintain SRE observability stack, pro‑active alerting, and SLAs. - Automate repetitive tasks, mentor developers, and promote DevSecOps across teams. - Steward policy and audit processes to meet industry certifications. - Design AWS Backup, DR plans; run restore drills; maintain RPO/RTO dashboards. - Execute monthly capacity & cost optimisation (Compute Optimizer, Savings Plans, Graviton). - Manage drift detection (Terraform/Helm) and golden image pipelines (Inspector v2). - Coordinate incident response, emergency changes, rollbacks, and post‑incident reviews. **Required Skills:** - Proven experience as a DevOps/SRE engineer with recent AWS cloud focus. - Deep expertise in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower). - Strong Kubernetes (EKS/OpenShift) administration, Helm packaging, service‑mesh knowledge. - Proficient with IaC (Terraform, Terraform Cloud, CloudFormation). - Containerisation skills (Docker, Docker Compose). - Linux system administration. - CI/CD engineering with GitHub Actions and Argo CD. - Integration of SAST/DAST and security tooling. - Scripting in Bash and Python or Go for automation. - Experience delivering cloud cost optimisation and high‑security solutions for enterprise clients. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field (preferred). - Relevant certifications (e.g., AWS Certified Solutions Architect – Associate/Professional, Certified Kubernetes Administrator, or equivalent) desirable.
Harwell, United kingdom
On site
Senior
29-01-2026
Company background Company brand
Company Name
Oxford Dynamics
Job Title
Senior Full-Stack Engineer (Backend specialism)
Job Description
**Job Title:** Senior Full‑Stack Engineer (Backend Specialism) **Role Summary:** Design, develop, and operate scalable, high‑availability backend services for generative AI products while contributing to frontend features as needed. Own end‑to‑end delivery of mission‑critical services, ensure reliability, security, and performance, and collaborate closely with AI, product, and design teams. **Expectations:** - Deliver robust backend architecture and APIs with clear SLAs. - Write secure, well‑tested code and maintain coding standards. - Participate in cross‑functional planning, mentoring, and technical decision‑making. - Support cloud operations, cost awareness, and compliance (ISO 27001, GDPR). **Key Responsibilities:** - Design and build Python/FastAPI services; create versioned RESTful APIs (OpenAPI/Swagger). - Implement OAuth2/OIDC authentication, session management, and fine‑grained permissions. - Develop event‑driven architectures and background pipelines (Celery, Redis Streams, Kafka). - Optimize PostgreSQL data models, implement caching, rate limiting, and queuing. - Integrate AI model‑serving endpoints, handling streaming and async inference. - Contribute to React/Next.js frontend features (TypeScript, Tailwind, shadcn/ui). - Containerize services with Docker; assist IaC (Terraform/CloudFormation) and CI/CD pipelines (GitHub Actions, Argo CD). - Add logging, metrics, and alerting (Prometheus/Grafana, ELK/OpenSearch). - Mentor junior engineers on backend design and API ergonomics. - Translate product requirements into technical plans with measurable milestones. **Required Skills:** - Strong Python development, FastAPI framework. - RESTful API design, OpenAPI/Swagger, OAuth2/OIDC. - Experience with async processing (Celery, Redis Streams, Kafka). - PostgreSQL performance tuning, data modeling, partitioning. - Frontend proficiency in React, Next.js, TypeScript, Tailwind CSS. - Docker containerization; familiarity with Terraform or CloudFormation. - CI/CD pipelines (GitHub Actions, Argo CD). - Monitoring/observability tools (Prometheus, Grafana, ELK/OpenSearch). - Security best practices, unit/integration/E2E testing. - Ability to work collaboratively in a fast‑moving, mission‑critical environment. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). - Relevant certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator) are a plus but not mandatory.
Harwell, United kingdom
On site
Senior
29-01-2026
Company background Company brand
Company Name
Oxford Dynamics
Job Title
AI Engineer (Research-Focused - Defence & National Security)
Job Description
**Job Title:** AI Engineer (Research‑Focused – Defence & National Security) **Role Summary:** Research‑oriented AI Engineer tasked with designing and deploying large‑language‑model (LLM) and agentic AI systems for mission‑critical defence applications. Works directly with R&D and engineering teams to translate cutting‑edge academic insights into secure, offline‑capable products. **Expectations:** - Strong academic pedigree in AI/NLP (PhD, post‑doc, or MSc with substantive research). - Proven ability to develop, fine‑tune, or integrate LLMs, NLP pipelines, or autonomous agents. - Demonstrated collaboration across multidisciplinary teams; self‑directed with meticulous execution. - Continuous learning of latest LLM and agentic research; ability to convert theory into operational systems. - Deliver robust, performance‑tracked models suitable for secure deployment environments. **Key Responsibilities:** - Design, implement, and evaluate generative AI and NLP algorithms for core products. - Build and optimize language‑ and agent‑driven systems for goal‑directed planning, search, and task execution. - Collaborate with engineering on agent orchestration, environment interaction, and system integration. - Maintain proficiency in state‑of‑the‑art LLM, agentic, and autonomous reasoning research. - Deploy models in secure, offline production settings; establish performance monitoring and evaluation pipelines. - Contribute to documentation, reproducible research practices, and publishable outcomes. **Required Skills:** - Expertise in at least two (or all) of: LLM development/fine‑tuning, NLP/agent pipelines, AI agent architectures, secure model deployment. - Proficient in Python; experience with PyTorch, Hugging Face Transformers, LangChain, Haystack. - Familiar with agentic frameworks (LangGraph, Agent Development Kit). - Competent with Docker, Git, cloud platforms (AWS, GCP, Azure); knowledge of MLOps practices. - Strong written and verbal communication; ability to translate technical concepts to non‑technical stakeholders. **Required Education & Certifications:** - Completed PhD, PhD thesis pending viva, recent post‑doctoral research, or MSc with substantial research (thesis, publications, R&D internships). - Relevant certifications in machine learning, NLP, or AI engineering are advantageous but not mandatory.
Harwell, United kingdom
Hybrid
29-01-2026