Data Scientist – Sovereign Territory Surveillance

SRT Marine Systems plc

. Solve maritime and security-based problems involving detection and classification for time-series and image/video data streams .

Posted 9/15/2026full-timeBristol • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and evaluating machine-learning models for behaviour classification and anomaly detection, with a strong focus on maritime and security-based applications. Proficient in building scalable data pipelines and integrating model outputs into user-facing features.

Highest-signal resume keywords

Machine Learning Model DevelopmentGeospatial Data AnalysisContainerization (Docker, AWS ECS/ECR)Graph Database Management (Neo4j)MLOps Tools (MLflow, Weights & Biases)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Behaviour ClassificationAnomaly DetectionTime-Series AnalysisImage/Video Data ProcessingModel Performance Documentation

Soft Skills

CollaborationProblem Solving

Tools & Technologies

DockerAWSNeo4jMLflowWeights & Biases

Industry Keywords

Maritime DataRemote-Sensing ImagerySovereign Territory SurveillanceCI/CDEdge-Based Engineering

Tech Stack

Tools & technologies

AWSCloudDockerNeo4jRay

About the role

Key responsibilities & impact

Solve maritime and security-based problems involving detection and classification for time-series and image/video data streams
Develop and evaluate machine-learning models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data
Research, prototype, extend, and optimise suitable vision and time-series models
Collaborate with developers to integrate model outputs into user-facing features
Work with infrastructure and edge-based engineers to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data, including AIS and vessel video footage
Contribute to feature development including alert generation and visualisation
Apply best practices to document model performance, testing procedures, experiment outcomes, datasets, and model versions
Conduct research and delivery as part of a collaborative, data-oriented team
Help develop Sovereign Territory Surveillance systems for land-border monitoring and civil-defence security

Requirements

What you’ll need

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
Ability to solve maritime and security-based problems involving time-series and image/video data streams
Ability to develop and evaluate machine-learning models for behaviour classification, anomaly detection, and geospatial track pattern recognition
Ability to research, prototype, extend, and optimise vision and time-series models
Ability to collaborate with developers and infrastructure/edge-based engineers
Ability to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data
Ability to document model performance, testing procedures, experiment outcomes, datasets, and model versions

Benefits

Comp & perks

Highly Competitive Salary and benefits package
25 days annual leave rising to 28 days with service
Real individual development opportunities