Artificial Intelligence Jobs in Preston

• 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

• 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

• Welwyn Garden City
• Hybrid
• £750 – £850 pd
• Senior
• Contract

Technical lead for AI solutions within a healthcare organisation's Business Strategy & Operations function, owning the design of AI agents, assistants and dashboards built on enterprise LLMs. Involves multi-agent workflows, reusable component libraries, GxP compliance and validation, plus mentoring engineers and setting CI/CD and coding standards.

Python · R · R Shiny +4