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.