Jobs at Oxford Dynamics

Lead end-to-end product design engineering: discover and reframe user problems, design high-fidelity interfaces, build production front-end code, iterate with real users and stakeholders, and grow the product design engineering function.

Design, build and operate scalable backend services and REST APIs (FastAPI/Python) for high-availability AI and robotics products. Implement event-driven pipelines, auth (OAuth2/OIDC), DB optimisation (PostgreSQL), observability, security/compliance, and mentor engineers while collaborating cross-functionally to deliver production-grade systems.

Convert frontier ML research into production capabilities: design, train and evaluate RL and LLM models (including RLHF and multi-objective policy optimisation), prototype and harden solutions with engineering teams, define evaluation and auditability, and engage customers to align research with product needs and operational constraints.

Speculative hiring for engineers, product leaders and commercial specialists to build AI and robotics for mission-critical defence and security use-cases. Seeking expertise in generative/agentic AI, multi-modal/vision-language pipelines, robotics autonomy, MLOps, secure deployments, and customer-facing technical roles to deliver production systems in hazardous environments.

Design, build, and deploy multi-agent and agentic AI systems integrating LLMs and vision-language models. Own end-to-end production pipelines, deploy into cloud, on-prem and air-gapped environments, implement observability and evaluation frameworks, and act as a technical authority setting design patterns for junior engineers in defence contexts.

Design, build and deploy production-grade multi-agent and agentic AI systems integrating LLMs and vision-language models. Own end-to-end pipelines from data ingestion to inference, ensure observability and secure deployments (cloud, on-prem, air-gapped), collaborate with stakeholders, and set technical design patterns for junior engineers.

Design, build and deploy multi-agent, agentic AI systems integrating LLMs and vision-language models into production pipelines. Deliver end-to-end features for cloud, on-prem and air-gapped environments, implement observability and evaluation frameworks, and act as a technical authority for agentic AI within cross-functional teams.

Lead design, implementation and operation of multi-account AWS infrastructure and Kubernetes platforms (EKS/OpenShift). Build IaC (Terraform/CloudFormation/Helm), CI/CD (GitHub Actions/Argo CD), security hardening (GuardDuty, IAM, CloudWatch), observability, backup/DR and cost-optimisation while owning audits, incident response and enabling DevSecOps practices across the organisation.

Design, build and deploy agentic multi-agent AI systems integrating LLMs and vision-language models. Own end-to-end production pipelines, secure/air-gapped deployments, observability and performance tracking, and set technical design patterns for the team.