Computer Vision AI Data ScientistPML Applications Ltd • Plymouth, England, United Kingdom
Computer Vision AI Data Scientist
PML Applications Ltd
- Plymouth, England, United Kingdom
- Plymouth, England, United Kingdom
Über
This is your chance to contribute to projects that matter – advancing machine learning for underwater species detection and helping protect marine ecosystems worldwide.
You will play a key role in DeepVision, a project funded by the Bezos Earth Fund, developing state-of-the-art Vision Transformer models for underwater imagery. Your work will directly support global efforts to understand and safeguard marine biodiversity.
Beyond the DeepVision project, you’ll have opportunities to:
Drive innovation in AI for environmental science.
Collaborate across disciplines – from biology and chemistry to social science and computer science.
Shape new research directions and applications in AI/ML.
Plymouth Marine Laboratory (PML) is a global leader in marine research, dedicated to delivering cutting‑edge environmental science that supports a healthy and sustainable ocean. The Environmental Intelligence Group combines expertise in marine ecosystem and process modelling, data science, and artificial intelligence to advance understanding of marine systems. The group takes an interdisciplinary, whole‑systems approach, integrating physics, chemistry, biology, ecology, and AI, to explore the impacts and values of marine environments from coastal waters to the deep ocean and polar regions. By providing trusted, evidence‑based insights, the team enables informed decision‑making across marine policy, management, and industry, helping to achieve national and international sustainability goals and reinforcing PML’s leadership in ocean action.
Location Plymouth Hybrid Vacancy Type Open Ended Appointment Application Deadline Monday, January 12, 2026 Salary £36963 - £46635 DOE
Key Deliverables
Develop and train Vision Transformer models for object detection in underwater imagery.
Build robust computer vision data pipelines and ensure best practices in software and data management.
Collaborate with interdisciplinary teams across marine science and AI.
Innovate new AI/ML approaches to advance environmental understanding.
Skills Specification
Strong experience in computer vision (segmentation, object detection) across diverse problem areas.
Relevant postgraduate degree (Masters/PhD) around applied AI/ML or equivalent industry experience.
An enthusiasm for working with others to solve problems.
Proficiency in Python and deep learning libraries (PyTorch, TensorFlow, HuggingFace).
Ability to communicate complex technical concepts clearly to non-specialists
Passion for producing well designed and documented code, and collaborative problem solving.
The following skills would also be beneficial:
Use of Linux systems for Data Science tasks
Experience in underwater imagery
High-Performance Computing experience using multiple GPUs, including resource management software, such as Slurm
Containerisation technologies such as Docker and Singularity
Python Environment management experience such as conda, uv or env
Applicant Information Interviews for this position will be held durning the first week of February - exact date TBC
You can find out more about working at PML
here
and view ourcompany benefits here .
For more information about living and working in Plymouth please click
here .
If you require a visa to work in the UK please click
here
for more information.
Please note that this position is a Hybrid role that will require at least 50% of the jobholder’s time to be spent in our Lab. We are not able to support fully remote working for this role.
If you haveany questions about this position pleaseemail careers@pml.ac.uk .
PML is a Disability Confident employer, and we have recently attained the Investors in Diversity Silver accreditation. We are committed to promoting a diverse and inclusive culture, where all can succeed based on merit, and will provide any reasonable adjustments required to enable this. To support staff from all backgrounds, we offer a range of family friendly and inclusive employment policies, flexible working arrangements and staff engagement forums.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.