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SRT Marine Systems

Maritime surveillance and safety technology provider

Data Scientist - Machine Learning & AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBristol, UKNo salary listedHybrid

About the Job

Requirements

  • Commercial experience developing machine learning or artificial intelligence solutions from concept through deployment.
  • Strong Python development skills, ideally in real-time or near-real-time environments.
  • Experience with computer vision, radar, sensor fusion, geospatial data, or similar data-rich environments.
  • Knowledge of large language models, agentic artificial intelligence workflows, autonomous agents, or advanced artificial intelligence applications.
  • Experience deploying and operating solutions through Amazon Web Services, MLOps, or DevOps practices.
  • Ability to work across the full lifecycle, from problem definition and experimentation through production deployment.
  • Experience in maritime, defence, aerospace, automotive, or similarly complex engineering environments.

Responsibilities

  • Develop solutions that identify anomalous behaviour, uncover patterns, and help users make faster, better-informed decisions.
  • Work on artificial intelligence technologies across the data science lifecycle, from early-stage research to deployment.
  • Help define approaches, influence technical direction, and contribute across the full development lifecycle.
  • Work with proprietary datasets, emerging artificial intelligence technologies, and cloud-native platforms to turn technical challenges into practical solutions for end users.

Desired Qualifications

  • Work closely with product and engineering teams to solve customer problems, supported by strong collaboration skills.
  • Take a pragmatic approach to problem solving and operate without excessive process or bureaucracy.

About the Company

SRT Marine Systems

Maritime surveillance and safety technology provider

SRT Marine Systems provides maritime surveillance, intelligence, navigation safety, and situational awareness technologies for governments and commercial users. Its systems ingest and fuse maritime data to deliver real-time intelligence for detecting, identifying, and assessing events, enabling precise asset tasking and safer navigation. The company differentiates itself with an end-to-end, globally deployed maritime information suite that combines surveillance, identification, and decision support in scalable, integrated solutions. Its goal is to extend digital maritime awareness worldwide by delivering reliable performance and functionality that helps customers observe, understand, and act in their maritime environments.

Company size
51-200
Company stage
IPO
Headquarters
Bath, United Kingdom
Founded
1987

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