SRT's vision is to make innovative use of publicly available data, augmenting it with proprietary data as a differentiator in the Maritime Domain Awareness market. SRT see Data Science and Machine Learning as an essential component to achieving this goal. You will be part of a data-oriented 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 solve the challenges put to you.
Overview
SRT Marine Systems plc (SRT) are a market leader in its domain of international marine surveillance technology and systems. We are respected, established and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a global impact in the marine domain by leading the next generation of maritime domain awareness technologies, products and systems that significantly enhance security, safety and environment protection and sustainability. Our customers are worldwide and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high quality results are rewarded. We are ambitious and are constantly seeking to innovate to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work where talented hard-working individuals have the opportunity to make a real impact across the marine world.
Responsibilities
* Solve maritime based problems such as detection and classification for time series and image/video 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 GeoVS 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, with future extensions including depth estimation within maritime environments.
* Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions.
* Strong theoretical and practical understanding of data science and machine learning.
* Proficient Python programming with tools and libraries such as PyTorch, TensorFlow, scikit-learn, pandas, and OpenCV.
* Solid grasp of dataset preparation methods and performance evaluation metrics (e.g. mAP, F1 etc.).
* Understanding of ML experiment and model tracking.
* Experience with modern DevOps, version control, and software engineering practices in an agile framework.
* Comfortable working in a small cross-functional technical team and communicating progress clearly.
Qualifications
* Strong theoretical and practical understanding of data science and machine learning.
* Proficient Python programming with tools and libraries such as PyTorch, TensorFlow, scikit-learn, pandas, and OpenCV.
* Solid grasp of dataset preparation methods and performance evaluation metrics (e.g. mAP, F1 etc.).
* Understanding of ML experiment and model tracking.
* Experience with modern DevOps, version control, and software engineering practices in an agile framework.
* Comfortable working in a small cross-functional technical team and communicating progress clearly.
Benefits
* Work on mission-critical maritime surveillance systems used worldwide.
* Be part of an ambitious, innovative, and supportive team.
* Make a direct impact on global maritime safety and sustainability.
* Enjoy flexible hybrid working.
* Competitive salary and benefits, including:
* Matched pension contributions up to 5%
* 25 days annual leave (rising to 28 with service)
* Private health care
* Flexible working opportunities
* Development and training programmes
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