Artificial Intelligence Jobs in Plymouth

• London
• Hybrid · 1 day in office
• Senior · manages people
• Permanent

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

TypeScript · React · Node

• Wantage
• On-site
• Senior
• Permanent

Lead the design and deployment of autonomous robotic systems, owning software architecture across perception, planning and control. Work spans prototyping, simulation and field testing, integrating with hardware teams while mentoring engineers and shaping technical roadmaps. Requires depth in C++, ROS2, SLAM and real-time systems.

ROS · ROS2 · Gazebo +1

• New York, United States
• Hybrid
• US$240,000 – US$300,000 pa
• Director · manages people

Leads regional deployment engineering for a physics AI platform, owning end-to-end success of customer-owned infrastructure deployments. Acts as primary technical contact for CIOs and CTOs, overseeing Kubernetes-based platform rollouts, security reviews, and version upgrades while hiring and growing a team of deployment engineers.

Kubernetes · AWS · Azure +6

• Southampton
• £37,369 – £45,641 pa
• Mid-level
• Contract · Part time

A part-time research post developing and commercialising AI-enabled healthcare tools, combining hands-on software engineering and system architecture with product development and evaluation. The role involves building, testing and deploying software with large language model and agentic AI capabilities, connecting diverse datasets, research algorithms and external services, while supporting commercial partnerships, customer discovery, business models and pilot delivery.

• London
• £110,000 pa
• Lead · manages people
• Permanent

Hands-on leadership role taking AI solutions from proof of concept to secure, production-grade deployments in highly regulated Security & Justice environments. Involves designing end-to-end AI architectures, leading multidisciplinary teams, shaping technical roadmaps and ensuring governance, security and operational compliance across LLM, RAG and Generative AI workstreams.

LangChain · LangGraph · Azure +2