Applied Computer Vision Data Scientist

Our client based in Brentford is seeking an Applied Computer Vision Data Scientist to join their team.

MFK Recruitment has successfully recruited 4 individuals to the team in the past 3 years, all 4 candidates are still with the company and enjoying their roles!

The Applied Computer Vision Data Scientist will work on-site in Brentford (they will likely be moving office to London in the coming months), you will be working on fascinating projects mainly for clients in the Defence sector. Remote working is offered 1 day every fortnight.  

My client delivers systems that can perceive and understand the world with the same semantic richness as the human brain and using the same neural mechanisms they believe are at work in the brain.

Their approaches are inspired by their recent advances in theoretical neuroscience, which are beginning to deliver an understanding of how the brain makes sense of the world.

The project team will work on the development of a novel enhanced convolutional neural network based on a proprietary approach already developed by the company.

Applied Computer Vision Data Scientist - job responsibilities:

• Enhance our machine learning software with the latest in machine learning/deep learning/computer vision algorithms.
• Apply existing knowledge of Transformers and CNNs, machine vision & image analysis techniques to the development of enhanced neural network systems based on our research outputs.
• Work to customise and implement our machine learning solutions for use by prestigious and demanding customers.
• Contribute to development and software engineering efforts to develop solutions to our most pressing problems and to put your work into practice.
• Participate in defining the software development roadmap and in holding responsibility for delivering core components of our machine vision and image analysis products.
• Work with research colleagues and offer technical support to colleagues in commercial roles in developing business opportunities.
• Produce project deliverables by challenging milestone dates.

Applied Computer Vision Data Scientist - - job skills & qualifications:

• Strong experience in Python and Pytorch
• Able to create and explain your own customised solutions for specific problems such as customised neural networks, loss functions, optimisers, metrics.
• Able to discuss and apply latest state-of-art deep learning/computer vision papers.
• Experience in developing Transformer and CNN -based applications.
• Proven contribution to design, development and scaling of high quality, practical reliable software.
• Enthusiastic about working in a fast-paced engineering team.
• Develop high quality software adhering to best development practices, version control, CI / CD pipelines to ensure quality assurance in delivery of software and rapid resolution of bugs

Applied Computer Vision Data Scientist - - Desirable skills:

• Experience using Transformer or CNN neural networks for real-time multiple object detection & localisation, tracking, segmentation, pose estimation or similar computer vision tasks.
• Experience modifying or creating novel Transformer and CNN architectures to deliver increased classification and detection & localisation accuracy and in optimising performance.
• Work with high/low resolution aerial or satellite images.
• SCRUM or other agile/rapid development methodology experience.
• Kubeflow, Docker, Kubernetes experience.
• Worked with GANs, familiar with synthetic data generation/synthetic imagery. 
• Familiarity with Unreal or Blender and 3D modelling.
• Experience working with academic and/or industrial researchers.
• Working with important UK public sector clients. You will need to be able to pass security clearance processes to at least BPSS and, preferably SC level or above.
• Strong academic background; MSc or PhD in computer vision / machine learning or similar.
• Publications or papers submitted to top Computer Vision journals or conferences.
• Experience working in a start-up Environment.

Requirement - The successful candidate will be required to pass security clearance. For this, you will need to have lived in one of the following countries for at least 4 years - United Kingdom, United States, Australia, Canada or New Zealand.