Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Multiverse · London

Deliver technical AI content across the AI for Business Value and AI-Powered Productivity programmes, facilitating workshops and drop-in sessions for apprentices. Moderate assignments, provide feedback, and coordinate with coaches and operations to track learner progress. Requires applying AI in business contexts and explaining complex concepts to varied audiences.

Ulster University · Londonderry · £49,798 pa

Supports SMEs across the INNOVATE+ project in adopting AI responsibly, ethically and trustworthily. Advises on ethical considerations in AI design and use, develops practical guidance and policy recommendations, and helps businesses comply with emerging legislation and regulatory frameworks while managing risk. Part of a project team within the School of Computing, Engineering and Intelligent Systems.

Morson Edge · Heathrow, United States · £625 – £650 pd

Lead data and AI engineering work for a major airline, focused on AWS, Snowflake and CI/CD pipelines. The role is inside IR35 and requires one to two days per week on-site at Heathrow, with the remainder likely remote. It is a long-term contract position.

Adecco · London · £700 – £800 pd

Drives enterprise-wide AI adoption within an EMEA Data Management Office, bridging business needs and AI capabilities. Develops use cases, playbooks and prompt libraries, runs training and champion networks, and tracks adoption, value and ROI. Hybrid role in London, three days per week on site.

SJIT · London · £550 – £650 pd

Lead a London specialty insurer's first AI initiative from a blank slate, identifying and prioritising use cases such as broker submissions, document processing and claims data. Shape the data, tooling and governance foundations, then build and ship production solutions using LLMs, RAG and cloud AI services. The role also involves explaining work to senior stakeholders and handing over to the in-house team.