Data Scientist
Posted Today by Experis UK
Negotiable
Inside
Remote
London, England, United Kingdom
Summary: The role of Data Scientist involves assisting Border Force Officers in identifying suspicious cargo using Computer Vision and Machine Learning techniques. The successful candidate will lead the integration of ML models into the ScanApp application, enhancing the efficiency of customs checks. A strong background in Python, computer vision, and deep learning is essential for this position. The role is remote and requires active SC security clearance, classified as inside IR35 with umbrella company arrangements.
Key Responsibilities:
- Collaborate with cross-functional teams to understand ScanApp requirements and translate them into robust ML models.
- Develop, train, and optimise computer vision and deep learning models using Python and popular libraries (e.g., TensorFlow, PyTorch).
- Integrate ML models into the ScanApp application, ensuring compatibility and scalability.
- Utilize knowledge of LLMs to enhance model outputs and improve user experience for Border Force officers.
- Establish and maintain efficient, reliable, and secure in-house ML infrastructure, either by adapting code from the trial phase or devising new solutions based on trial learnings.
- Conduct thorough model testing, validation, and iteration to ensure accuracy, reliability, and performance.
Key Skills:
- Strong background in Python programming.
- Experience in computer vision and deep learning.
- Familiarity with large language models (LLMs).
- Proficiency in using ML libraries such as TensorFlow and PyTorch.
- Strong stakeholder management skills.
- Experience in developing and integrating ML models.
- Ability to establish and maintain ML infrastructure.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
6 months Remote Active SC security clearance and eligible candidates will be considered Inside IR35 - Umbrella only
Role Description
The role itself is assisting the Border Force Officers identify transport with suspicious cargo coming through customs. Using Computer Vision and Machine Learning modelling, Officers will be able to identify cargo for further inspection based up image matching, which will reduce the chance of items coming through borders. It is hoped that this will increase the speed of checks, reduce loss of revenue from taxing and increase throughput rate
We are seeking a skilled Computer Vision Data Scientist to join our team and lead the integration of machine learning (ML) models into the ScanApp application. The ideal candidate will possess a strong background in Python, computer vision, and deep learning, as well as experience with large language models (LLMs). You will be responsible for refining existing models, setting up in-house infrastructure, and ensuring seamless integration with the ScanApp.
Key Responsibilities
- Collaborate with cross-functional teams to understand ScanApp requirements and translate them into robust ML models.
- Develop, train, and optimise computer vision and deep learning models using Python and popular libraries (e.g., TensorFlow, PyTorch).
- Integrate ML models into the ScanApp application, ensuring compatibility and scalability.
- Utilize knowledge of LLMs to enhance model outputs and improve user experience for Border Force officers.
- Establish and maintain efficient, reliable, and secure in-house ML infrastructure, either by adapting code from the trial phase or devising new solutions based on trial learnings.
- Conduct thorough model testing, validation, and iteration to ensure accuracy, reliability, and performance.
Strong Stakeholder Management Skills
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!