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

• Welwyn Garden City
• Hybrid
• £500 – £600 pd
• Mid-level
• Contract

Hands-on engineering role building AI-powered applications, automation workflows and internal business tools, including deploying R Shiny apps used by business teams. Involves Python, SQL, REST API integration, data pipelines and working with LLMs and Generative AI to create AI assistants and automated decision-support tools, collaborating directly with stakeholders from concept to production.

Shiny · Snowflake · LangChain +3

• London
• Hybrid
• Senior
• Permanent

Customer-facing cloud architect role in AWS's UK Solutions Architecture team, focused on the Travel and Hospitality industry. You lead architecture reviews, whiteboarding sessions, demos and technical workshops, manage the technical relationship with customers, and create reference architectures and best practices across AI/ML, serverless, containers, analytics and security.

AWS