ML Engineer: AI-Driven Maritime Design & Optimization

University of Southampton; City of Westminster; On-site; GBP 45,000 - 65,000; Full time

Benefits offered by this job

£6,000 training budget

Job summary

The University of Southampton seeks a Machine Learning Engineer for a Knowledge Transfer Partnership with Compute Maritime Ltd. You will develop fast, physics-informed ML models for predicting ship resistance and propulsion, and integrate them into NeuralShipper for automated vessel design improvement.

Working with industry partners, you will extend capabilities to wind-assisted propulsion, validate tools against practical design requirements, and contribute to commercial outcomes while

Qualifications

• MSc/MEng or PhD in ML, AI, CFD, hydrodynamics, optimisation, or related discipline.
• Experience applying ML and deep learning to engineering or physical systems.
• Strong Python programming; knowledge of C++ and MATLAB is desirable.
• Familiarity with PyTorch, TensorFlow, or JAX and CFD tools like STAR-CCM+.
• Understanding naval architecture and ship hydrodynamics is a plus.

Responsibilities

• Translate and embed research into commercially viable solutions via work packages.
• Develop fast, physics-informed ML models for ship resistance and propulsion.
• Design multidisciplinary optimisation methods and integrate into NeuralShipper.
• Extend capabilities to wind-assisted propulsion and validate with stakeholders.
• Collaborate with industry partners to meet practical design requirements.

Skills

Machine Learning

Deep Learning

Scientific programming (Python)

C++

MATLAB

Education

MSc/MEng or PhD in ML, AI, CFD, hydrodynamics or related discipline

Tools

Python

C++

MATLAB

STAR-CCM+

PyTorch

TensorFlow

JAX

Job description

The University of Southampton seeks a Machine Learning Engineer for a Knowledge Transfer Partnership with Compute Maritime Ltd. You will develop fast, physics-informed ML models for predicting ship resistance and propulsion, and integrate them into NeuralShipper for automated vessel design improvement.

Working with industry partners, you will extend capabilities to wind-assisted propulsion, validate tools against practical design requirements, and contribute to commercial outcomes while