Data Scientist

Data Scientist - Computer Vision & Machine Learning

Start Date: ASAP Duration: Initial 6 months Clearance: Must have 5 years of unbroken UK residency Location: Remote

Contract Type: Inside IR35

About the Role

We are looking for an experienced Data Scientist with strong expertise in Computer Vision and Machine Learning to join a high-impact project. You will lead the development and integration of advanced ML models into a core application, driving automation and improving operational efficiency.

This is an exciting opportunity to work on cutting-edge technology, including deep learning, image recognition, and large language models (LLMs), while building secure and scalable in-house infrastructure.

Key Responsibilities

• Design, develop, and optimise computer vision and deep learning models using Python and frameworks such as TensorFlow or PyTorch.
• Integrate ML models into production applications, ensuring scalability and performance.
• Apply LLMs to enhance model outputs and improve user experience.
• Build and maintain secure, reliable ML infrastructure based on trial learnings.
• Conduct rigorous testing, validation, and iteration of models.
• Collaborate with stakeholders and cross-functional teams to deliver robust solutions.

What We're Looking For

• Proven experience in Computer Vision, Deep Learning, and Python.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch).
• Familiarity with LLMs and their practical applications.
• Strong problem-solving skills and stakeholder management experience.

What you'll get in return Flexible working options available.

What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. #4745662 - Suleman

• Proven experience in Computer Vision, Deep Learning, and Python.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch).
• Familiarity with LLMs and their practical applications.
• Strong problem-solving skills and stakeholder management experience.