Data Scientist, AI & ML for Real-Time Maritime Intelligence

Srt Marine; West of England; Híbrido; GBP 70.000 - 110.000; Jornada completa

Descripción de la vacante

SRT Marine Systems plc in the UK is seeking a Data Scientist to shape how multiple streams of real-world data are transformed into meaningful intelligence. You will explore AI technologies across the full data science lifecycle, from research to deployment, delivering solutions that identify anomalies and patterns in domains where accuracy matters.

You’ll own projects with autonomy, work on proprietary datasets, and collaborate with product and engineering teams to turn complex data into

Formación

• Commercial experience developing ML/AI solutions from concept through to deployment.
• Strong Python development in real-time or near real-time environments.
• Experience with computer vision, radar, sensor fusion or geospatial data.
• Knowledge of Large Language Models (LLMs) and agentic AI workflows.
• Experience deploying and operating solutions through AWS, MLOps or DevOps.
• Ability to work across the full lifecycle from problem framing to production.

Responsabilidades

• Develop intelligent systems from data to actionable intelligence.
• Work across the full ML lifecycle from research to deployment.
• Collaborate with product and engineering teams to solve customer problems.
• Turn complex technical challenges into practical, value-delivering solutions.

Conocimientos

Python

Machine Learning

Real-time processing

Geospatial data

Radar data

Sensor fusion

LLMs

AWS

MLOps

DevOps

Collaboration

Descripción del empleo

SRT Marine Systems plc in the UK is seeking a Data Scientist to shape how multiple streams of real-world data are transformed into meaningful intelligence. You will explore AI technologies across the full data science lifecycle, from research to deployment, delivering solutions that identify anomalies and patterns in domains where accuracy matters.

You’ll own projects with autonomy, work on proprietary datasets, and collaborate with product and engineering teams to turn complex data into