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Data Scientist – Machine Learning, AI
SRT Marine Systems plc. Transform multiple streams of real-world data into meaningful intelligence .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying Machine Learning and AI solutions, with strong proficiency in Python and experience in real-time environments. Capable of transforming complex data into actionable insights while collaborating effectively with cross-functional teams in high-stakes industries.
Highest-signal resume keywords
Machine Learning DevelopmentPython DevelopmentAWS DeploymentComputer VisionCollaboration Skills
ATS Keywords
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Hard Skills
Machine LearningAI SolutionsPythonComputer VisionSensor FusionGeospatial DataLarge Language ModelsMLOpsDevOpsProblem Definition
Soft Skills
CollaborationPragmatic Problem Solving
Tools & Technologies
AWSCloud-Native PlatformsEmerging AI Technologies
Industry Keywords
MaritimeDefenceAerospaceAutomotiveEngineering Environments
Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- Transform multiple streams of real-world data into meaningful intelligence
- Develop AI and machine learning solutions that identify anomalous behaviour and uncover patterns
- Help users make faster, better-informed decisions in accuracy-critical environments
- Contribute across the full data science lifecycle, from early-stage research to deployment
- Define approaches and influence technical direction
- Work with proprietary datasets, emerging AI technologies and cloud-native platforms
- Turn complex technical challenges into practical solutions for end users
- Collaborate with product and engineering teams to solve customer problems
Requirements
What you’ll need- Commercial experience developing Machine Learning or AI solutions from concept through to deployment
- Strong Python development skills, ideally within 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 (LLMs), agentic AI workflows, autonomous agents or advanced AI applications
- Experience deploying and operating solutions through AWS, MLOps or DevOps practices
- Ability to work across the full lifecycle, from problem definition and experimentation through to production deployment
- Pragmatic approach to problem solving and confidence operating without excessive process or bureaucracy
- Experience within Maritime, Defence, Aerospace, Automotive or similarly complex engineering environments
- Strong collaboration skills and interest in working closely with product and engineering teams
- Hybrid work arrangement in Bristol, United Kingdom
Benefits
Comp & perks- Opportunity to work with unique proprietary datasets
- Influence technical direction
- Build solutions across the complete machine learning lifecycle
- Develop expertise in anomaly detection, agentic AI and intelligent decision-support systems
- High-trust environment with ownership and accountability
- Fewer organisational barriers and less bureaucracy
- Opportunity to grow alongside an expanding capability with visible, recognised impact