Artificial Intelligence Jobs

4 jobs for “Maritime Digitalisation And Autonomy Tec”

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Hadean logo

Hadean · 11–50 people · Series A

Engineering Manager - AI Defence Product (dominAI)

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  • 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

Featured SC clearance Last week

Maritime & Coastguard Agency

Maritime Digitalisation and Autonomy Technology Lead

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  • Southampton
  • Hybrid
  • £45,900 pa
  • Lead
  • Permanent

Lead the Maritime Innovation Hub's work on digitalisation, AI, data, connected technologies and autonomous surface ships. You will horizon-scan, build industry and academic networks, produce guidance, and support policy and regulatory colleagues while helping innovators navigate the maritime regulatory regime. The role is outward-facing and international, feeding into the IMO Digitalisation Strategy.

Last week

Faculty

Customer Director (Maritime)

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  • London
  • Hybrid
  • Director · manages people
  • Permanent

Lead the creation and growth of a dedicated maritime defence unit, owning the full sales lifecycle from market creation to complex contract and pricing negotiations with the Royal Navy, MOD, NATO/AUKUS and industry. Blend deep maritime domain expertise with commercial flair, overseeing multidisciplinary teams delivering AI and data-driven solutions for mission-critical naval needs.

Metaview

DV clearance 3 months ago

University of Exeter

PhD Studentship: Multiscale Scientific Machine Learning Digital Twins for High-Torque Electric Propulsion under Extreme Duty Cycles

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  • Exeter
  • £21,805 pa
  • Contract

Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion under extreme duty cycles. Combines physics-informed hybrid architectures (DNNs, neural state-space models, Neural ODEs) with safety-constrained dynamometer experiments at the Centre for Future Clean Mobility, in collaboration with marine power-systems company Ecomar Innovations.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +2

Last week
University of Southampton logo

University of Southampton · 501–1000 people · University

Machine Learning Engineer – Ship Design & Hydrodynamics (KTP Associate)

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  • Southampton
  • Hybrid
  • £41,064 – £45,064 pa
  • Contract

Embed physics-informed generative AI tools into a marine vessel concept, generation and evaluation platform as part of a Knowledge Transfer Partnership between Compute Maritime Ltd and the University of Southampton. Develop and validate fast physics-informed models for ship resistance, propulsion and energy efficiency using CFD and benchmark data, and integrate multidisciplinary optimisation methods into the NeuralShipper platform.

PyTorch · TensorFlow · JAX +2

Last month

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