ML Engineer: Generative AI for Ship Design & Hydrodynamics

Cyber Security Academy Southampton; Southampton; Hybrid; GBP 45,000 - 64,000; Full time

Benefits offered by this job

£6,000 training budget

KTP collaboration with University ofS

Job summary

Compute Maritime Ltd, based in London, seeks a Machine Learning Engineer for a Knowledge Transfer Partnership with the University of Southampton. You will embed physics-informed generative AI into marine vessel design, building fast CFD-based models and scalable optimisation tools within NeuralShipper.

Key work includes wind-assisted propulsion and collaboration with industry partners to meet real design requirements. A strong ML background and programming in Python/C++ are essential.

Qualifications

• MSc/MEng or PhD (desirable) in ML, AI, CFD, hydrodynamics, optimisation or a related field.
• Experience applying ML and DL to engineering or physical systems.
• Strong programming in Python; C++, MATLAB or similar desirable.
• Experience with PyTorch, TensorFlow, or JAX is desirable.
• Experience with CFD/hydrodynamics tools such as STAR-CCM+.
• Understanding naval architecture, ship hydrodynamics or vessel performance.
• Experience in physics-informed ML, surrogate modelling or design optimisation desirable.
• Entrepreneurial mindset and willingness to build commercial acumen.

Responsibilities

• Translate and embed research into commercially viable solutions by managing work packages.
• Develop and validate fast, physics-informed models for ship resistance and propulsion using CFD data.
• Design and implement multidisciplinary optimisation methods integrated into NeuralShipper.
• Extend capabilities to wind-assisted propulsion and validate against practical design requirements.

Skills

Machine Learning

Python

Deep Learning

C++

MATLAB

Naval Hydrodynamics

Physics-informed ML

Optimization

Generative AI

PyTorch

TensorFlow

JAX

CFD

Education

MSc/MEng or PhD desirable

Tools

STAR-CCM+

Job description

Compute Maritime Ltd, based in London, seeks a Machine Learning Engineer for a Knowledge Transfer Partnership with the University of Southampton. You will embed physics-informed generative AI into marine vessel design, building fast CFD-based models and scalable optimisation tools within NeuralShipper.

Key work includes wind-assisted propulsion and collaboration with industry partners to meet real design requirements. A strong ML background and programming in Python/C++ are essential.