AI Engineer

At Ocean Infinity, we're on a bold mission to subsea data using innovative technology.

Using cutting-edge robotics, autonomous technology and world-class software, we're transforming how complex operations are carried out at sea.

Our uncrewed systems are making ocean exploration and operations safer, smarter and more sustainable, helping unlock the vast potential of our oceans while reducing environmental impact.

This isn't a vision for the future.

It's happening right now.

As we continue to push the boundaries of innovation and redefine what's possible in the maritime industry, we're looking for exceptional talent to join our fast-growing team.

Ocean Infinity is looking for an AI Engineer to join our growing AI team, applying cutting-edge AI to underwater sensor data including sonar, magnetometer and acoustic systems.

You'll tackle high-impact challenges across ocean survey, maritime operations, asset monitoring and autonomous vessels, building production-ready AI solutions that deliver real-world impact.

This is a hands-on, high-autonomy role offering the opportunity to shape the future of AI in a rapidly evolving and largely untapped field

What you will do!

• Contribute to the design and delivery of AI solutions, taking projects from exploratory research through to production-ready inference pipelines.
• Define the technical approach for complex AI projects, making decisions on model architectures, data strategies, evaluation frameworks, and deployment paths.
• Design and implement models for detection, classification, prediction, and feature extraction.
• Work with large-scale, often unlabelled datasets and apply self-supervised and semi-supervised learning techniques to build robust models.
• Adapt and fine-tune foundation models, with techniques such as active learning for domain specific challenges in maritime AI.
• Review code, define best practices, and champion high engineering standards across the AI team.
• Communicate technical progress, trade-offs, and results clearly to both technical and non technical stakeholders.

What we look for!

• You have a degree in Computer Science, Mathematics, or a related field.

A Ph D or research background in Machine Learning or underwater sensor processing algorithms is a strong plus.

• You have evidence of hands-on experience in AI and Machine Learning.
• You are a solid Python developer with strong experience in Py Torch, Tensor Flow, or similar deep learning frameworks.
• You have experience working with non-standard imagery data. Writing custom data loaders and curating custom datasets.
• You write clean, maintainable code and hold software engineering quality to the same standard as model performance.
• You are comfortable operating with high autonomy in ambiguous, evolving environments and can break large problems into deliverable increments.
• You communicate effectively with both technical and non-technical stakeholders and can explain complex AI concepts clearly

Nice to have!

• Experience with self-supervised learning approaches such as DINO-style training, or joint embedding predictive architectures (JEPA).
• Familiarity with foundation models and their adaptation for domain-specific tasks via fine-tuning or few-shot methods.
• Experience working with sonar, magnetometer, acoustic or other remote-sensing data types.
• Knowledge of MLOps practices including experiment tracking, model versioning, containerisation, and CI/CD pipelines.
• Publications or contributions to the research community through journals, conferences, Kaggle competitions, or open-source projects.
• #J-18808-Ljbffr