Machine Learning Engineer

Compute Maritime is pioneering data-driven maritime sustainability through the synergy of Generative AI, High-Performance Computing, and Quantum Technologies. Our strategic mission is to provide the industry with state-of-the-art generative design tools that empower designers and engineers to explore diverse design spaces and develop the most innovative solutions.

Backed by 10 years of research, our flagship platform, NeuralShipper, is transforming the way maritime assets are conceived and optimised. From hull forms and propellers to wind-assisted propulsion systems, we enable clients to explore vast design possibilities—achieving faster, smarter, and more efficient outcomes.

As we continue to grow, we remain committed to confidentiality and trust, supporting our customers as they push the boundaries of maritime innovation. With the expansion of our technology platform and product offerings, we are seeking driven individuals eager to contribute to our mission.

If you are passionate about shaping the future of sustainable maritime solutions, we would love to hear from you—even if you do not meet every requirement.

What You'll Do:

• Collaborate with simulation engineers, data scientists, and customers to solve complex physics and engineering challenges through machine learning.
• Leverage geometric deep learning techniques to enhance data representation, processing, and predictive modelling capabilities within our flagship tool, NeuralShipper.
• Take ownership of end-to-end technical workstreams, driving the successful execution and delivery of cutting-edge ML solutions.
• Transform R&D innovations into production-ready ML models and scalable, reusable tools.
• Work alongside global industry leaders and top research institutions, contributing to a new era of engineering innovation.

What You Bring to the Table:

• Proven experience applying machine learning techniques—particularly geometric deep learning—to real-world engineering applications, driving measurable impact.
• Experience in industrial ML use cases such as design, optimisation and simulation.
• 2+ years of experience in data-driven roles with exposure to software engineering principles (versioning, testing, CI/CD, API design, MLOps).
• Hands-on experience building ML models and pipelines in Python, using frameworks like TensorFlow or MLflow.
• Excellent collaboration and communication skills, both with internal teams and external clients.
• Industry experience in CAD / CFD / FEA modelling is a plus.

What We Offer:

Join a purpose-driven company that’s redefining the future of engineering and sustainability through innovative solutions that make a real impact. Work alongside a team of talented and driven professionals who inspire and challenge each other to achieve excellence. We value fresh perspectives and foster a culture where every idea contributes to pushing boundaries and driving progress. At the same time, we believe success comes from maintaining a healthy balance between work and personal life, offering flexibility and support to ensure overall well-being. Our competitive compensation package includes a rewarding salary, equity options, generous vacation time, parental leave, and a variety of valuable perks. Plus, you’ll have the opportunity to gain hands-on experience at customer sites, witnessing firsthand how our cutting-edge technology is transforming industries.

Ready to Join Us?

If you're eager to contribute to cutting-edge innovation and help drive the maritime industry towards a sustainable future, apply now!