AI Engineer
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Key skills for this role
Key Skills for This Role
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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 PhD 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 PyTorch, TensorFlow, 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.
Benefits
- *Salary £85,000 - £90,000 Per Annum*
About Ocean Infinity
Private marine robotics company delivering robotic ocean operations and data services to governments, energy companies, and scientists.
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