Careers

Principal / Senior Machine Learning Engineer / Data Scientist

Posted: 24/05/2022

Location: Exeter/Remote Working

Reports to: Head of Machine Learning

Salary: Full Time, Competitive

Job Overview:

DeGould is an exciting, multi-award-winning company, in the software and AI sector. The company develops and delivers innovative vision and damage detection systems to a range of blue-chip corporate clients (including Toyota, Ford, Jaguar Land Rover, Daimler and Bentley). As the company embarks on an exciting growth phase the company plans to expand the team, further develop existing products, and explore opportunities for new ones.   

DeGould is looking for an outstanding Principal Machine Learning Engineer to accelerate our ability to produce world-leading, production-grade visual defect detection computer vision models. The ideal candidate will have a comprehensive understanding of how to build and deploy bespoke computer vision ML models to a service-led architecture in AWS. The successful candidate will be able to be responsible for end-to-end model pipelines, from building upon pre-existing image data and labelling pipelines to produce high-quality datasets, to monitoring and setting up automated retraining pipelines using best practices in MLOps and DevSecOps.  

The ideal candidate will be a strong problem solver combined with an eye for detail, high standards for quality, and a real desire to own entire aspects of a pipeline that is central to our core business value chain. The successful candidate will be a team player, working with a team of over 20 engineers. The experience and desire to manage a small team are preferable. 

Duties and Responsibilities:

  • Create production ML pipelines for images from our proprietary production line and imaging booths.  
  • Develop infrastructure and tools for rapid machine learning experimentation. 
  • Implement and develop new Deep Learning approaches and services in AWS. 
  • Continuous evaluation and improvement of models in production. 
  • Create and maintain high-quality code standards to solve interesting and highly impactful problems. 
  • Stay up to date with the latest tools, research, methods and technologies, and keep an eye open for opportunities to apply these. 
  • Manage and support small teams of product-focused ML Engineers and Data Scientists.  
  • Work across multidisciplinary teams to deliver against the company’s objectives.  

Essential Skills:

  • Expertise across ML Pipeline and production MLOps. 
  • Technical expertise in AI for image processing using: Deep Learning, Machine Learning, Transfer Learning, CNN architectures and the benefits of each (Yolov4, RCNN, ResNet etc). 
  • Knowledge of relevant metrics and how to apply them to monitor model performance. 
  • Strong proficiency with Python, and preferably two of TensorFlow, PyTorch, Keras, Nvidia TAO (TLT). 
  • Experience in data visualisation tools such as Matplotlib, Plotly, Streamlit, AWS Quicksight etc. 
  • Ability to write high quality, readable code with a focus on maintainability. 
  • Ability to query relational databases using SQL. 
  • Strong experience with DevOps and MLOps tools e.g. git, Docker, DVC, CML, MLFlow, SageMaker etc. 
  • Strong familiarity with AWS services, including S3, SageMaker, EC2, ECS, RDS and more. 

Desirable Skills:

  • Desirable: Experience with labelling tools such as Labelbox, CVAT, AWS Groundtruth. 
  • Experience managing a small team.  

Behaviours:

As an employee of DeGould Ltd, you are required to meet a number of common standards of behaviour,  accountabilities and outcomes. In addition, and in relation to this role it is expected that the successful candidate will exhibit these behaviours: 

  • Inquisitive – looks into data to identify insights and new opportunities.  
  • Analytical – capable of working through the detail when required.  
  • Flexibility – thriving in a fast-paced, changing and opportunity-rich environment. 
  • Collaborative – enthusiastically works with colleagues and customers alike. 
  • Dependable – deliver on stakeholder commitments in a timely manner. 

Benefits:

Competitive salary and benefits include: 

  • Flexible working hours (early/late start).  
  • 25 days holiday per annum (excluding bank holidays), +1 additional day for your Birthday. 
  • Life assurance/death in service of 4 times basic salary.  
  • Company sick pay scheme. 
  • Cycle to work scheme. 
  • Electric vehicle salary sacrifice scheme. 
  • Pension contributions after 3 months of service. 

Please apply to careers@degould.com with a cover letter and CV. No recruitment agents thank you.

DeGould have embraced our partnership in the UK and have a continuous improvement ethos that reflects in their can-do approach and innovative solutions.

Get In Touch

If you are interested in speaking to us about our award-winning solutions and would like to set up a consultation or demonstration, please contact us directly.


+44 (0)1392 876611
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