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# Data Scientist (Sovereign Territory Surveillance)

- **Company:** SRT Marine Systems plc
- **Location:** Swindon, UK
- **Salary:** £53,031.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Continuous Integration, Graph Database, Machine Learning, Neo4j, Pattern Recognition, Performance Tuning, Data Streaming, Model Validation, AWS ECS, Containerization, Machine Learning Operations, Docker
- **Published:** October 29, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5945462554

## About the Role

* Experience fine-tuning, extending, and evaluating modern video or radar-based detection and tracking models, including appropriate performance metrics.
 * Experience creating, managing, and interrogating graph databases (e.g., Neo4j).
 * Experience with maritime, aerial, or other remote-sensing imagery.
 * Exposure to MLOps tools (MLflow, Weights & Biases, Ray etc.)
 * Experience deploying systems with containerisation, both on premises and in the cloud (e.g. using Docker and AWS ECS/ECR), and their ongoing maintenance/support.
 * Experience of CI/CD within a machine learning / data science environment.

## Description

The role of Data Scientist role is based from our Bristol office and aligned with our Hybrid working policy.

You as a Data Scientist will be part of a data-orientated team responsible for research and delivery. The team believes in the importance of collaboration to achieve its goals, and values open, honest and timely feedback. You will be encouraged to bring your knowledge, experience, ideas and perspective to help achieve solve the challenges put to you.

Responsibilities - Data Scientist - not exhaustive:

 * Solve maritime and security-based problems such as detection and classification for time series and image/video data streams.
 * Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data.
 * Research, prototype, extend, and optimise suitable vision and time-series models for these problems.
 * Collaborate with developers to integrate model outputs into user-facing features.
 * Work with infrastructure and edge-based engineers within SRT to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data (e.g. AIS and vessel video footage).
 * Contribute to feature development in areas such as alert generation and visualisation.
 * Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions.

Requirements - Data Scientist - not exhaustive:

Essential:

 * Solve maritime and security-based problems such as detection and classification for time series and image/video data streams.
 * Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data.
 * Research, prototype, extend, and optimise suitable vision and time-series models for these problems.
 * Collaborate with developers to integrate model outputs into user-facing features.
 * Work with infrastructure and edge-based engineers within SRT to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data (e.g. AIS and vessel video footage).
 * Contribute to feature development in areas such as alert generation and visualisation.
 * Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions.