Data Scientist

Experis; City Of London; Remote; GBP 50,000 - 70,000; Full time

Job summary

A prominent tech recruitment agency is seeking a skilled Data Scientist to assist Border Force Officers in identifying suspicious cargo through the integration of computer vision and machine learning models. The role is remote and focuses on setting up in-house infrastructure and refining existing ML models. Ideal candidates should have a strong background in Python, computer vision, and machine learning. This opportunity offers a chance to directly impact border checks and improve operational efficiency.

Qualifications

• Strong background in Python and machine learning.
• Experience with computer vision and deep learning.
• Knowledge of large language models (LLMs).

Responsibilities

• Collaborate with teams to develop ML models for ScanApp.
• Train and optimize computer vision models using Python.
• Integrate ML models ensuring compatibility and scalability.
• Establish secure in-house ML infrastructure.

Skills

Python

Computer Vision

Deep Learning

Stakeholder Management

Tools

TensorFlow

PyTorch

Job description

Data Scientist

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.
• Utilise 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!