Machine Learning Engineer

Machine Learning Engineer

London (Hoxton)

Salary: £80-95,000 plus equity

MNRecruit is delighted to partner with Samudra Oceans

Samudra Oceans is building the intelligence layer for the ocean economy — combining real-time maritime data, ocean sensing, and deep domain expertise across offshore energy and shipping.

Operating across offshore wind, oil & gas, and the wider maritime sector, the company is developing technology that enables smarter decisions across complex ocean environments. As one of the earliest engineering hires, this individual will play a key role in shaping the technical foundations of the business and building AI systems with real-world impact.

Reporting directly to the CEO, who brings 10+ years of AI experience, this role offers close mentorship and the opportunity to work alongside the founding team.

Key responsibilities

• Design, build and deploy machine learning models across maritime and ocean datasets
• Develop data pipelines and ML workflows for real-time sensing systems
• Work across time-series, sensor and predictive modelling challenges
• Build scalable ML infrastructure and support production deployment
• Own technical projects end-to-end and contribute to product direction

Required experience

• Strong experience building and deploying ML systems
• Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn)
• Experience with large datasets and production environments
• Strong understanding of time-series and data processing workflows
• Cloud experience (AWS, Azure or GCP)
• Comfortable operating in an early-stage, fast-moving environment

Nice to have

• Sensor data or signal processing experience
• MLOps exposure
• Geospatial or maritime datasets
• Experience within offshore energy, shipping or ocean technologies

This is a high-ownership opportunity for someone excited by applying AI to real-world systems and helping shape the future of ocean intelligence.